Prof. Dr. Andreas Berl
Professor
Studienfachberater des Studiengangs Angewandte Informatik/Infotronik, Mitglied der Prüfungskommission der Fakultät für Angewandte Informatik
Sprechzeiten
Sprechstunde nach Vereinbarung per Email
Contribution
- Markus Eider
- Andreas Berl
- 2020
DOI: 10.1109/ACIT49673.2020.9209011
Lithium-ion batteries in electric vehicles are subject to degradation, which is strongly influenced by the actions of vehicle users. Hereby, inexperienced users can cause the battery to reach its end of life state earlier than average. For this reason, this paper proposes the concept of a prescriptive recommender system that supports users in planning their utilization actions. The paper identifies functionalities of decision support systems relevant to extend the lifetime of electric and electronic systems. This allows to determe generic functional and non-functional requirements for prescriptive recommender systems. Further, the derived requirements are discussed in connection to the practicability of a prescriptive recommender system.
Contribution
- Nicki Bodenschatz
- Markus Eider
- Andreas Berl
- 2020
DOI: 10.1109/ACIT49673.2020.9208875
The number of electric vehicles is steadily increasing of the past few years. This transition to electric vehicles bears the challenge, to integrate the charging processes into the grid without overstressing it. To prevent this, research has tackled lately the scheduling of electric vehicle charging. Especially the charging of electric vehicle fleets is in the focus of research. There are already different solution approaches to increase the grid stability, to increase the intake of locally produced renewable energy or simply to reduce the cost. However, all these solution approaches use different mathematical models with different parameters to represent the charging scheduling problem. This results in the problem that each model is applicable for a special use case only, other use cases might need other parameters for the scheduling of the electric vehicle fleet. To ease this problem, this paper provides a detailed mathematical model for the cost minimization of a general electric fleet in the form of a mixed-integer-linearprogram. In order to do this, the paper shows that different research approaches use different parameters in their solutions. Afterwards, the paper presents a general overview of technical limitations for the electric fleets. On foundation of these limitations a mixed-integer-linear-program model for a wide range of electric fleets is established. Also, the paper provides options to extend the model in order to improve the result of an optimal schedule.
Contribution
- Markus Eider
- Andreas Berl
- 2020
DOI: 10.1109/ACIT49673.2020.9209011
Lithium-ion batteries in electric vehicles are subject to degradation, which is strongly influenced by the actions of vehicle users. Hereby, inexperienced users can cause the battery to reach its end of life state earlier than average. For this reason, this paper proposes the concept of a prescriptive recommender system that supports users in planning their utilization actions. The paper identifies functionalities of decision support systems relevant to extend the lifetime of electric and electronic systems. This allows to determe generic functional and non-functional requirements for prescriptive recommender systems. Further, the derived requirements are discussed in connection to the practicability of a prescriptive recommender system.
Lecture
- Markus Eider
- Andreas Berl
- 2020
Lecture
- Markus Eider
- Andreas Berl
- 2020
Lecture
- Nicki Bodenschatz
- Markus Eider
- Andreas Berl
- 2020
Contribution
- Nicki Bodenschatz
- Markus Eider
- Andreas Berl
- 2020
DOI: 10.1109/ACIT49673.2020.9208875
The number of electric vehicles is steadily increasing of the past few years. This transition to electric vehicles bears the challenge, to integrate the charging processes into the grid without overstressing it. To prevent this, research has tackled lately the scheduling of electric vehicle charging. Especially the charging of electric vehicle fleets is in the focus of research. There are already different solution approaches to increase the grid stability, to increase the intake of locally produced renewable energy or simply to reduce the cost. However, all these solution approaches use different mathematical models with different parameters to represent the charging scheduling problem. This results in the problem that each model is applicable for a special use case only, other use cases might need other parameters for the scheduling of the electric vehicle fleet. To ease this problem, this paper provides a detailed mathematical model for the cost minimization of a general electric fleet in the form of a mixed-integer-linearprogram. In order to do this, the paper shows that different research approaches use different parameters in their solutions. Afterwards, the paper presents a general overview of technical limitations for the electric fleets. On foundation of these limitations a mixed-integer-linear-program model for a wide range of electric fleets is established. Also, the paper provides options to extend the model in order to improve the result of an optimal schedule.
Lecture
- Nicki Bodenschatz
- Markus Eider
- Andreas Berl
- 2020
Contribution
- Siegfried Hildebrand
- Christina Sigl
- Andreas Berl
- 2019
JournalArticle
- Christina Sigl
- Siegfried Hildebrand
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- M. Prokýšek
- R. Vohnout
- 2019
The sustainability and efficiency of the current and future power grid is an important topic nowadays. Thus, the increasing usage of renewable energy sources for generation of electricity requires a more complex infrastructure to manage generation and demand efficiently. In order to stabilize a power grid there are different methods to trade energy sources. Especially for smart grid infrastructures, the most interesting approach is to trade energy peer-to-peer. Thus, we consider different peer-to-peer principles in detail. Particularly, the underlying subsystem is essential for fast and accurate trading. That is why smart meters, forming the lowest layer of the system, are one of the most important parts within the grid infrastructure. Their main task is to provide high quality information and services for smart contracting and also for controlling the power grid with regard to efficiency and sustainability. The information provided by smart meters can also be used within a smart energy management to optimize production and consumption times. This demand side management approach helps to prevent overproduction and hence leads to more sustainablitiy in future decentralized power grids. For this purpose, peer-to-peer methods and smart meters have to fulfil dedicated requirements which are considered here in more detail.
Contribution
- Nicki Bodenschatz
- Andreas Berl
- 2019
The number of electric vehicles is steadily growing and commercial fleet owners follow this trend. However, the charging of fleets has a major impact on the already stressed power grid. To prevent negative impact on the grid, it is necessary to schedule charging processes. This charging scheduling should not only utilize the existing charging infrastructure and the available resources, but it should furthermore allow an optimized charging schedule, e.g. in terms of cost reduction. This scheduling problem is complex and it needs significant information about infrastructure and fleet in order to create a viable charging schedule. However, not all of the relevant information is always available. For this reason, this paper analysis the possibilities to create a charging schedule with missing information. To achieve this, the paper provides a detailed description of the charging scheduling problem for a day ahead planning and the necessary input parameters. It clarifies the influence of the input parameters on the viability and optimality of a charging schedule. On this base, the paper establishes data sets with different degrees of scheduling possibilities. Further, the paper analyses the affectation of missing input parameters on the scheduling and it provides possible solutions to approximate the missing parameters under the proposition to guarantee the viability of a charging schedule.
Contribution
- Siegfried Hildebrand
- Christina Sigl
- Andreas Berl
- 2019
JournalArticle
- Christina Sigl
- Siegfried Hildebrand
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- M. Prokýšek
- R. Vohnout
- 2019
The sustainability and efficiency of the current and future power grid is an important topic nowadays. Thus, the increasing usage of renewable energy sources for generation of electricity requires a more complex infrastructure to manage generation and demand efficiently. In order to stabilize a power grid there are different methods to trade energy sources. Especially for smart grid infrastructures, the most interesting approach is to trade energy peer-to-peer. Thus, we consider different peer-to-peer principles in detail. Particularly, the underlying subsystem is essential for fast and accurate trading. That is why smart meters, forming the lowest layer of the system, are one of the most important parts within the grid infrastructure. Their main task is to provide high quality information and services for smart contracting and also for controlling the power grid with regard to efficiency and sustainability. The information provided by smart meters can also be used within a smart energy management to optimize production and consumption times. This demand side management approach helps to prevent overproduction and hence leads to more sustainablitiy in future decentralized power grids. For this purpose, peer-to-peer methods and smart meters have to fulfil dedicated requirements which are considered here in more detail.
Contribution
- Nicki Bodenschatz
- Andreas Berl
- 2019
The number of electric vehicles is steadily growing and commercial fleet owners follow this trend. However, the charging of fleets has a major impact on the already stressed power grid. To prevent negative impact on the grid, it is necessary to schedule charging processes. This charging scheduling should not only utilize the existing charging infrastructure and the available resources, but it should furthermore allow an optimized charging schedule, e.g. in terms of cost reduction. This scheduling problem is complex and it needs significant information about infrastructure and fleet in order to create a viable charging schedule. However, not all of the relevant information is always available. For this reason, this paper analysis the possibilities to create a charging schedule with missing information. To achieve this, the paper provides a detailed description of the charging scheduling problem for a day ahead planning and the necessary input parameters. It clarifies the influence of the input parameters on the viability and optimality of a charging schedule. On this base, the paper establishes data sets with different degrees of scheduling possibilities. Further, the paper analyses the affectation of missing input parameters on the scheduling and it provides possible solutions to approximate the missing parameters under the proposition to guarantee the viability of a charging schedule.
Contribution
- Markus Eider
- Andreas Berl
- 2018
DOI: 10.23919/EETA.2018.8493182
Electric vehicles equipped with Lithium-ion batteries face performance loss due to battery ageing. This effect can be actively influenced through behaviour introduced by vehicle users. Therefore, this paper proposes a dynamic recommendation architecture to automatically generate dynamic recommendations in order to prolong battery lifetime. We propose dynamic recommendations as well as requirements for them. The recommendations suggest a certain user behaviour for a specific chronological scope in the future as well as a weight based on their impact on maintaining battery health. Furthermore, we present an exemplary architecture, based on the requirements. Using historical electric vehicle driving data, it can automatically derive dynamic recommendations.
Lecture
- Markus Eider
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- R. Vohnout
- M. Prokýšek
- 2018
Lecture
- Christina Sigl
- Andreas Berl
- 2018
Contribution
- Markus Eider
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- R. Vohnout
- M. Prokýšek
- 2018
Contribution
- Markus Eider
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Andreas Berl
- Alexander Faschingbauer
- 2018
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- R. Vohnout
- M. Prokýšek
- 2018
JournalArticle
- Diana Schramm
- Nicki Bodenschatz
- Andreas Berl
- 2018
In the overall effort of reducing CO2 emissions, the significance of alternative drive engines is growing. The transition from combustion engine vehicles to electric vehicles is high on the political agendas, with governments providing extensive funding to promote electric mobility. However, there are still challenges that hamper the dissemination of electric vehicles. One of those challenges is the limited range and the resulting range anxiety. Displayed vehicle range data contribute to this, as they are relatively inaccurate and might vary quite strongly during individual trips. This problem could be addressed by personalizing the range display according to the driving style of the current driver. Driver assistance services, like distance control, are becoming increasingly personalized nowadays, however, they are predominantly designed for internal combustion engine vehicles. In this paper, relevant input parameters for classifying the driving styles of electric vehicle users are identified. Furthermore, a system based on real-life driving data is developed to determine the driving style. Real-life driving data were collected in experiments and used to profile the driving style by means of fuzzy logic. Based on the results, an approach for a realistic classification of driving styles of electric vehicle users is discussed.
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Andreas Berl
- 2018
Contribution
- Nicki Bodenschatz
- Diana Schramm
- Markus Eider
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Lecture
- Christina Sigl
- Andreas Berl
- Alexander Faschingbauer
- 2018
Contribution
- Markus Eider
- Diana Schramm
- Nicki Bodenschatz
- Andreas Berl
- P. Danner
- H. Meer
- 2018
Contribution
- Markus Eider
- Andreas Berl
- 2018
DOI: 10.23919/EETA.2018.8493182
Electric vehicles equipped with Lithium-ion batteries face performance loss due to battery ageing. This effect can be actively influenced through behaviour introduced by vehicle users. Therefore, this paper proposes a dynamic recommendation architecture to automatically generate dynamic recommendations in order to prolong battery lifetime. We propose dynamic recommendations as well as requirements for them. The recommendations suggest a certain user behaviour for a specific chronological scope in the future as well as a weight based on their impact on maintaining battery health. Furthermore, we present an exemplary architecture, based on the requirements. Using historical electric vehicle driving data, it can automatically derive dynamic recommendations.
Contribution
- Nicki Bodenschatz
- Diana Schramm
- Markus Eider
- Andreas Berl
- 2018
JournalArticle
- Diana Schramm
- Nicki Bodenschatz
- Andreas Berl
- 2018
In the overall effort of reducing CO2 emissions, the significance of alternative drive engines is growing. The transition from combustion engine vehicles to electric vehicles is high on the political agendas, with governments providing extensive funding to promote electric mobility. However, there are still challenges that hamper the dissemination of electric vehicles. One of those challenges is the limited range and the resulting range anxiety. Displayed vehicle range data contribute to this, as they are relatively inaccurate and might vary quite strongly during individual trips. This problem could be addressed by personalizing the range display according to the driving style of the current driver. Driver assistance services, like distance control, are becoming increasingly personalized nowadays, however, they are predominantly designed for internal combustion engine vehicles. In this paper, relevant input parameters for classifying the driving styles of electric vehicle users are identified. Furthermore, a system based on real-life driving data is developed to determine the driving style. Real-life driving data were collected in experiments and used to profile the driving style by means of fuzzy logic. Based on the results, an approach for a realistic classification of driving styles of electric vehicle users is discussed.
Lecture
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- 2018
Lecture
- Nicki Bodenschatz
- Markus Eider
- Diana Schramm
- Andreas Berl
- 2018
Lecture
- Markus Eider
- Andreas Berl
- 2018
Contribution
- Markus Eider
- Diana Schramm
- Nicki Bodenschatz
- Andreas Berl
- P. Danner
- H. Meer
- 2018
Lecture
- Nicki Bodenschatz
- Markus Eider
- Diana Schramm
- Andreas Berl
- 2018
Contribution
- Christina Sigl
- Alexander Faschingbauer
- Andreas Berl
- J. Geyer
- R. Vohnout
- M. Prokýšek
- 2018
Contribution
- Markus Eider
- Diana Schramm
- Andreas Berl
- R. Basmadjian
- H. Meer
- S. Klingert
- T. Schulze
- F. Kutzner
- C. Kacperski
- M. Štolba
- 2017
The existing electromobility (EM) is still in its fledgling stage and multiple challenges have to be overcome to make Electric Vehicles (EVs) as convenient as combustion engine vehicles. Users and Electric Vehicle Fleet Operators (EFOs) want their EVs to be charged and ready for use at all times. This straightforward goal, however, is counteracted from various sides:
The range of the EV depends on the status and depletion of the EV battery which is influenced by EV use and charging characteristics. Also, most convenient charging from the user's point of view, might unfortunately lead to problems in the power grid. As in the case of a power peak in the evening when EV users return from work and simultaneously plug in their EVs for charging. Last but not least, the mass of EV batteries are an untapped potential to store electricity from intermittent renewable energy sources.
In this paper, we propose a novel approach to tackle this multi-layered problem from different perspectives. Using on-board EV data and grid prediction models, we build up an information model as a foundation for a back end service containing EFO and Charging Station Provider (CSP) logic as well as a central Advanced Drivers Assistant System (ADAS). These components connect to both battery management and user interfaces suggesting various routing and driving behaviour alternatives customized and incentivized for the current user profile optimizing above mentioned goals.
Contribution
- Markus Eider
- Diana Schramm
- Andreas Berl
- R. Basmadjian
- H. Meer
- S. Klingert
- T. Schulze
- F. Kutzner
- C. Kacperski
- M. Štolba
- 2017
The existing electromobility (EM) is still in its fledgling stage and multiple challenges have to be overcome to make Electric Vehicles (EVs) as convenient as combustion engine vehicles. Users and Electric Vehicle Fleet Operators (EFOs) want their EVs to be charged and ready for use at all times. This straightforward goal, however, is counteracted from various sides:
The range of the EV depends on the status and depletion of the EV battery which is influenced by EV use and charging characteristics. Also, most convenient charging from the user's point of view, might unfortunately lead to problems in the power grid. As in the case of a power peak in the evening when EV users return from work and simultaneously plug in their EVs for charging. Last but not least, the mass of EV batteries are an untapped potential to store electricity from intermittent renewable energy sources.
In this paper, we propose a novel approach to tackle this multi-layered problem from different perspectives. Using on-board EV data and grid prediction models, we build up an information model as a foundation for a back end service containing EFO and Charging Station Provider (CSP) logic as well as a central Advanced Drivers Assistant System (ADAS). These components connect to both battery management and user interfaces suggesting various routing and driving behaviour alternatives customized and incentivized for the current user profile optimizing above mentioned goals.
Contribution
- J. Benze
- Andreas Berl
- K. Daniel
- G. Eibl
- D. Engel
- Andreas Fischer
- U. Hofmann
- A. Kießling
- S. Köpsell
- L. Langer
- H. Meer
- C. Neureiter
- M. Niedermeier
- T. Pfeiffenberger
- M. Pietsch
- A. Veichtlbauer
- 2014
JournalArticle
- Andreas Berl
- H. Meer
- 2014
Contribution
- J. Benze
- Andreas Berl
- K. Daniel
- G. Eibl
- D. Engel
- Andreas Fischer
- U. Hofmann
- A. Kießling
- S. Köpsell
- L. Langer
- H. Meer
- C. Neureiter
- M. Niedermeier
- T. Pfeiffenberger
- M. Pietsch
- A. Veichtlbauer
- 2014
JournalArticle
- Andreas Berl
- H. Meer
- 2014
JournalArticle
- Andreas Berl
- M. Niedermeier
- Andreas Fischer
- D. Hutchinson
- H. Meer
- 2013
Increasing demand in energy consumption, missed modernisations, and the increasing difficulties in predicting power production due to volatile renewable energy sources (e.g., based on wind or sun) impose major challenges to the power grid. Power supply and power demand are closely interconnected with the need to maintain the power grid in a stable state with a sufficient quality of power. This requires energy-relevant information to be exchanged through the so called Energy Information Network. Communication, however, is challenging within the Energy Information Network due to privacy, security, resiliency, and quality-of-service requirements. Particularly, the resilience of communication within the Energy Information Network needs to be considered to maintain the power grid in a stable and controlled state. This paper suggests a Virtualised Energy Information Network (VEIN), where the Energy Information Network is divided into multiple virtual networks that run over a common substrate network. Furthermore, this paper discusses benefits of this approach in terms of privacy, security, and resilience and points out open research questions.
JournalArticle
- Andreas Berl
- M. Niedermeier
- Andreas Fischer
- D. Hutchinson
- H. Meer
- 2013
Increasing demand in energy consumption, missed modernisations, and the increasing difficulties in predicting power production due to volatile renewable energy sources (e.g., based on wind or sun) impose major challenges to the power grid. Power supply and power demand are closely interconnected with the need to maintain the power grid in a stable state with a sufficient quality of power. This requires energy-relevant information to be exchanged through the so called Energy Information Network. Communication, however, is challenging within the Energy Information Network due to privacy, security, resiliency, and quality-of-service requirements. Particularly, the resilience of communication within the Energy Information Network needs to be considered to maintain the power grid in a stable and controlled state. This paper suggests a Virtualised Energy Information Network (VEIN), where the Energy Information Network is divided into multiple virtual networks that run over a common substrate network. Furthermore, this paper discusses benefits of this approach in terms of privacy, security, and resilience and points out open research questions.
Contribution
- Andreas Berl
- G. Lovász
- F. Tüllenburg
- H. Meer
- 2013
Contribution
- Andreas Berl
- G. Lovász
- F. Tüllenburg
- H. Meer
- 2013
Contribution
- Andreas Berl
- M. Niedermeier
- H. Meer
- 2013
Contribution
- Andreas Berl
- M. Niedermeier
- H. Meer
- 2013
Contribution
- Andreas Berl
- M. Beck
- S. Klingert
- H. Meer
- 2013
Contribution
- Andreas Berl
- M. Beck
- S. Klingert
- H. Meer
- 2013
JournalArticle
- Andreas Berl
- G. Lovász
- H. Meer
- T. Zettler
- 2012
Cloud Computing is today's most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such a great significance comes with a support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide, and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to the infrastructure, an analysis of the current status is required. In this paper we perform a comprehensive analysis of an infrastructure supporting the Cloud Computing paradigm with regards to the energy efficiency. First, we define a systematic approach for analysing energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Secondly, we utilize this approach for analysing available scientific and industrial literature on state of the art practices in data centers and its equipment. Finally, we extract existing challenges and highlight future research directions.
JournalArticle
- Andreas Berl
- G. Lovász
- H. Meer
- T. Zettler
- 2012
Cloud Computing is today's most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such a great significance comes with a support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide, and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to the infrastructure, an analysis of the current status is required. In this paper we perform a comprehensive analysis of an infrastructure supporting the Cloud Computing paradigm with regards to the energy efficiency. First, we define a systematic approach for analysing energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Secondly, we utilize this approach for analysing available scientific and industrial literature on state of the art practices in data centers and its equipment. Finally, we extract existing challenges and highlight future research directions.
Contribution
- S. Klingert
- Andreas Berl
- M. Beck
- R. Serban
- M. Di Girolamo
- G. Giuliani
- H. Meer
- A. Salden
- 2012
JournalArticle
- G. Lovász
- F. Niedermeier
- Andreas Berl
- H. Meer
- 2012
JournalArticle
- G. Lovász
- F. Niedermeier
- Andreas Berl
- H. Meer
- 2012
Contribution
- S. Klingert
- Andreas Berl
- M. Beck
- R. Serban
- M. Di Girolamo
- G. Giuliani
- H. Meer
- A. Salden
- 2012
Contribution
- G. Lovász
- F. Niedermeier
- Andreas Berl
- H. Meer
- 2011
JournalArticle
- Andreas Berl
- H. Meer
- 2011
Contribution
- G. Lovász
- Andreas Berl
- H. Meer
- 2011
JournalArticle
- Andreas Berl
- H. Meer
- 2011
The rising costs of energy and the world-wide desire to reduce CO2 emissions has led to an increased concern over the energy efficiency of information and communication technology. Whilst much of this concern has focused on data centres, also office hosts that are located outside of data centres (e.g., in public administration or companies) have been identified as significant consumers of energy. Office environments offer great potential for energy savings, given that computing equipment often remains powered for 24 hours per day, and for a large part of this period is underutilised or even idle. This paper investigates the energy consumption of hosts in office environments, discusses the potential of energy savings and proposes an energy-efficient office management approach based on resource virtualization, power management, and service consolidation. Different virtualization techniques are used to enable management and consolidation of office resources. Idle services are stopped from consuming resources on the one hand and (underutilized) services are consolidated on a smaller number of hosts on the other hand.
JournalArticle
- Andreas Berl
- H. Meer
- 2011
Contribution
- G. Lovász
- F. Niedermeier
- Andreas Berl
- H. Meer
- 2011
Thesis
- Andreas Berl
- 2011
JournalArticle
- Andreas Berl
- H. Meer
- 2011
The rising costs of energy and the world-wide desire to reduce CO2 emissions has led to an increased concern over the energy efficiency of information and communication technology. Whilst much of this concern has focused on data centres, also office hosts that are located outside of data centres (e.g., in public administration or companies) have been identified as significant consumers of energy. Office environments offer great potential for energy savings, given that computing equipment often remains powered for 24 hours per day, and for a large part of this period is underutilised or even idle. This paper investigates the energy consumption of hosts in office environments, discusses the potential of energy savings and proposes an energy-efficient office management approach based on resource virtualization, power management, and service consolidation. Different virtualization techniques are used to enable management and consolidation of office resources. Idle services are stopped from consuming resources on the one hand and (underutilized) services are consolidated on a smaller number of hosts on the other hand.
JournalArticle
- Andreas Berl
- H. Meer
- 2011
Today, peer-to-peer content-distribution networks are highly popular among users that have stationary computers with high-bandwidth Internet connections. Mobile devices (e.g. cell phones) that are connected to the Internet via cellular-radio networks, however, could not yet be launched into this field to a satisfactory extent. Although most mobile devices have the necessary hardware resources for joining peer-to-peer content-distribution networks, they are often not able to benefit from participation in an energy efficient way, due to limitations caused by mobility. In this work, mobile devices are identified as providers of advanced mobile features and services that are usually not available to computers in stationary networks. These mobile features and services can be exchanged for services in peer-to-peer networks, turning mobile devices into valuable trading partners. Partnership schemes are set up to define the way of a fair cooperation between mobile devices and other peers. A novel peer-to-peer architecture is suggested that applies partnership schemes to a well-established peer-to-peer content-distribution network and facilitates the integration of mobile devices.
Thesis
- Andreas Berl
- 2011
Contribution
- G. Lovász
- Andreas Berl
- H. Meer
- 2011
JournalArticle
- Andreas Berl
- H. Meer
- 2011
Today, peer-to-peer content-distribution networks are highly popular among users that have stationary computers with high-bandwidth Internet connections. Mobile devices (e.g. cell phones) that are connected to the Internet via cellular-radio networks, however, could not yet be launched into this field to a satisfactory extent. Although most mobile devices have the necessary hardware resources for joining peer-to-peer content-distribution networks, they are often not able to benefit from participation in an energy efficient way, due to limitations caused by mobility. In this work, mobile devices are identified as providers of advanced mobile features and services that are usually not available to computers in stationary networks. These mobile features and services can be exchanged for services in peer-to-peer networks, turning mobile devices into valuable trading partners. Partnership schemes are set up to define the way of a fair cooperation between mobile devices and other peers. A novel peer-to-peer architecture is suggested that applies partnership schemes to a well-established peer-to-peer content-distribution network and facilitates the integration of mobile devices.
JournalArticle
- Andreas Berl
- Andreas Fischer
- H. Meer
- 2010
DOI: 10.1007/s00287-010-0420-z
Das Future Internet stellt sich der Herausforderung, die Verknöcherung und die Unzulänglichkeiten des heutigen Internets zu überwinden. Es soll beispielsweise robust, zuverlässig und fehlertolerant sein und dabei Dienste auf energieeffiziente Weise erbringen. Zusätzlich müssen auch neue Anforderungen antizipiert werden, die zukünftige Dienste und Netze stellen, um der Entwicklung von neuen Diensten und Protokollen nicht im Wege zu stehen. Erforderlich ist hierbei die Entwicklung einer äußerst variablen und rekonfigurierbaren Netzwerkarchitektur, die eine möglichst einfache und autonome Netzwerkverwaltung mit einschließt. Die Virtualisierung von Host- und Netzwerkressourcen stellt in diesem Zusammenhang eine der Schlüsseltechnologien dar, mit der diese notwendige Flexibilität erreicht werden kann. Virtualisierung verbirgt die Komplexität von physikalischen Netzwerkinfrastrukturen und stellt homogene, flexible und dynamisch rekonfigurierbare virtuelle Ressourcen zur Verfügung. Dieser Artikel gibt einen Überblick über verschiedene Host- und Netzwerkvirtualisierungsmethoden. An mehreren Beispielen wird aufgezeigt, wie verschiedene Herausforderungen angegangen werden können, die sowohl im heutigen Internet als auch im Internet der Zukunft eine Rolle spielen.
JournalArticle
- Andreas Berl
- Andreas Fischer
- H. Meer
- 2010
DOI: 10.1007/s00287-010-0420-z
Das Future Internet stellt sich der Herausforderung, die Verknöcherung und die Unzulänglichkeiten des heutigen Internets zu überwinden. Es soll beispielsweise robust, zuverlässig und fehlertolerant sein und dabei Dienste auf energieeffiziente Weise erbringen. Zusätzlich müssen auch neue Anforderungen antizipiert werden, die zukünftige Dienste und Netze stellen, um der Entwicklung von neuen Diensten und Protokollen nicht im Wege zu stehen. Erforderlich ist hierbei die Entwicklung einer äußerst variablen und rekonfigurierbaren Netzwerkarchitektur, die eine möglichst einfache und autonome Netzwerkverwaltung mit einschließt. Die Virtualisierung von Host- und Netzwerkressourcen stellt in diesem Zusammenhang eine der Schlüsseltechnologien dar, mit der diese notwendige Flexibilität erreicht werden kann. Virtualisierung verbirgt die Komplexität von physikalischen Netzwerkinfrastrukturen und stellt homogene, flexible und dynamisch rekonfigurierbare virtuelle Ressourcen zur Verfügung. Dieser Artikel gibt einen Überblick über verschiedene Host- und Netzwerkvirtualisierungsmethoden. An mehreren Beispielen wird aufgezeigt, wie verschiedene Herausforderungen angegangen werden können, die sowohl im heutigen Internet als auch im Internet der Zukunft eine Rolle spielen.
Contribution
JournalArticle
- Andreas Berl
- N. Race
- J. Ishmael
- H. Meer
- 2010
The rising costs of energy and world-wide desire to reduce CO2 emissions has led to an increased concern over the energy efficiency of information and communication technology. Whilst much of this concern has focused on data centres, office environments (and the computing equipment that they contain) have also been identified as a significant consumer of energy. Office environments offer great potential for energy savings, given that computing equipment often remains powered for 24 h per day, and for a large part of this period is underutilised or idle. This paper proposes an energy-efficient office management approach based on resource virtualization, power management, and resource sharing. Evaluations indicate that about 75% energy savings are achievable in office environments without a significant interruption of provided services. A core element of this office management is a peer-to-peer network that interconnects office hosts, achieves addressing and mediation, and manages energy efficiency within the office environment. Several peer-to-peer approaches are suggested and discussed in this paper. Two of the approaches are evaluated, based on a discrete-event simulation.
Contribution
- Andreas Berl
- H. Meer
- 2010
Contribution
Contribution
JournalArticle
- Andreas Berl
- N. Race
- J. Ishmael
- H. Meer
- 2010
The rising costs of energy and world-wide desire to reduce CO2 emissions has led to an increased concern over the energy efficiency of information and communication technology. Whilst much of this concern has focused on data centres, office environments (and the computing equipment that they contain) have also been identified as a significant consumer of energy. Office environments offer great potential for energy savings, given that computing equipment often remains powered for 24 h per day, and for a large part of this period is underutilised or idle. This paper proposes an energy-efficient office management approach based on resource virtualization, power management, and resource sharing. Evaluations indicate that about 75% energy savings are achievable in office environments without a significant interruption of provided services. A core element of this office management is a peer-to-peer network that interconnects office hosts, achieves addressing and mediation, and manages energy efficiency within the office environment. Several peer-to-peer approaches are suggested and discussed in this paper. Two of the approaches are evaluated, based on a discrete-event simulation.
Contribution
Contribution
- Andreas Berl
- H. Meer
- 2010
JournalArticle
- Andreas Berl
- Andreas Fischer
- H. Meer
- 2009
The method of system virtualization is very popular for the use in data centers and desktop virtualization today. In this work, system virtualization is applied to core network elements (routers and links) in order to create a virtualized network. The selection of this virtualization method crucially determines the emerging network model. The network model consists of virtual networks, virtual routers, and virtual links that form overlays on top of the physical network. The properties, features, and limitations of this network model are analyzed and described in this paper. Additionally, a proof of concept implementation using currently available technology and infrastructure is presented. Finally the dynamic configurability of virtual resources in such a system virtualization based virtualized network is evaluated.
Contribution
- A. Galis
- S. Denazis
- A. Bassi
- P. Giacomin
- Andreas Berl
- Andreas Fischer
- H. Meer
- J. Strassner
- S. Davy
- D. Macedo
- G. Pujolle
- J. Rubio-Loyola
- J. Serrat
- L. Lefevre
- A. Cheniour
- 2009
Contribution
- K. Tutschku
- Andreas Berl
- T. Hoßfeld
- H. Meer
- 2009
Contribution
- Andreas Berl
- H. Meer
- T. Hoßfeld
- 2009
Contribution
- J. Rubio-Loyola
- J. Serrat
- A. Astorga
- Andreas Fischer
- Andreas Berl
- H. Meer
- G. Koumoutsos
- 2009
Contribution
- Andreas Berl
- H. Hlavacs
- R. Weidlich
- M. Schrank
- H. Meer
- 2009
JournalArticle
- Andreas Berl
- E. Gelenbe
- M. Di Girolamo
- H. Giuliani
- H. Meer
- M. Quan Dang
- K. Pentikousis
- 2009
Energy efficiency is increasingly important for future information and communication technologies (ICT), because the increased usage of ICT, together with increasing energy costs and the need to reduce green house gas emissions call for energy-efficient technologies that decrease the overall energy consumption of computation, storage and communications. Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilization of data centre resources. In principle, cloud computing can be an inherently energy-efficient technology for ICT provided that its potential for significant energy savings that have so far focused on hardware aspects, can be fully explored with respect to system operation and networking aspects. Thus this paper, in the context of cloud computing, reviews the usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure. After surveying some of the current best practice and relevant literature in this area, this paper identifies some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments.
Contribution
- Andreas Berl
- H. Meer
- 2009
Contribution
- J. Rubio-Loyola
- J. Serrat
- A. Astorga
- Andreas Fischer
- Andreas Berl
- H. Meer
- G. Koumoutsos
- 2009
JournalArticle
- Andreas Berl
- Andreas Fischer
- H. Meer
- 2009
The method of system virtualization is very popular for the use in data centers and desktop virtualization today. In this work, system virtualization is applied to core network elements (routers and links) in order to create a virtualized network. The selection of this virtualization method crucially determines the emerging network model. The network model consists of virtual networks, virtual routers, and virtual links that form overlays on top of the physical network. The properties, features, and limitations of this network model are analyzed and described in this paper. Additionally, a proof of concept implementation using currently available technology and infrastructure is presented. Finally the dynamic configurability of virtual resources in such a system virtualization based virtualized network is evaluated.
Contribution
- K. Tutschku
- Andreas Berl
- T. Hoßfeld
- H. Meer
- 2009
JournalArticle
- Andreas Berl
- H. Meer
- H. Hlavacs
- T. Treutner
- 2009
Home environments promise high potential in terms of resource sharing and energy saving. More and more home computers are running on an always-on basis (e.g., media centers or file sharing clients). Such home environments have not been sufficiently analyzed regarding the possibility of aggregating home user resources in an energy-efficient way. This article describes a future home environment in which available hardware resources (e.g., CPU cycles, disk space, or network capacity) are shared energy efficiently and balanced among end users. Furthermore, the article provides an overview of different virtualization methods that are needed in future home environments to enable cooperation of home networks. Virtualization-related requirements are discussed in detail and virtualization methods and concepts are compared to each other with respect to their usability in the architecture.
Contribution
- Andreas Berl
- H. Meer
- 2009
Contribution
- Andreas Berl
- H. Hlavacs
- R. Weidlich
- M. Schrank
- H. Meer
- 2009
Contribution
- Andreas Berl
- H. Meer
- T. Hoßfeld
- 2009
Contribution
- Andreas Berl
- H. Meer
- 2009
Contribution
- A. Galis
- S. Denazis
- A. Bassi
- P. Giacomin
- Andreas Berl
- Andreas Fischer
- H. Meer
- J. Strassner
- S. Davy
- D. Macedo
- G. Pujolle
- J. Rubio-Loyola
- J. Serrat
- L. Lefevre
- A. Cheniour
- 2009
JournalArticle
- Andreas Berl
- H. Meer
- H. Hlavacs
- T. Treutner
- 2009
Home environments promise high potential in terms of resource sharing and energy saving. More and more home computers are running on an always-on basis (e.g., media centers or file sharing clients). Such home environments have not been sufficiently analyzed regarding the possibility of aggregating home user resources in an energy-efficient way. This article describes a future home environment in which available hardware resources (e.g., CPU cycles, disk space, or network capacity) are shared energy efficiently and balanced among end users. Furthermore, the article provides an overview of different virtualization methods that are needed in future home environments to enable cooperation of home networks. Virtualization-related requirements are discussed in detail and virtualization methods and concepts are compared to each other with respect to their usability in the architecture.
Contribution
- Andreas Berl
- H. Meer
- 2009
JournalArticle
- Andreas Berl
- E. Gelenbe
- M. Di Girolamo
- H. Giuliani
- H. Meer
- M. Quan Dang
- K. Pentikousis
- 2009
Energy efficiency is increasingly important for future information and communication technologies (ICT), because the increased usage of ICT, together with increasing energy costs and the need to reduce green house gas emissions call for energy-efficient technologies that decrease the overall energy consumption of computation, storage and communications. Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilization of data centre resources. In principle, cloud computing can be an inherently energy-efficient technology for ICT provided that its potential for significant energy savings that have so far focused on hardware aspects, can be fully explored with respect to system operation and networking aspects. Thus this paper, in the context of cloud computing, reviews the usage of methods and technologies currently used for energy-efficient operation of computer hardware and network infrastructure. After surveying some of the current best practice and relevant literature in this area, this paper identifies some of the remaining key research challenges that arise when such energy-saving techniques are extended for use in cloud computing environments.
Contribution
- A. Garcia
- Andreas Berl
- K. Hummel
- R. Weidlich
- A. Houyou
- K. Hackbarth
- H. Meer
- H. Hlavacs
- 2008
Contribution
- C. Fahy
- S. Davy
- Z. Boudjemil
- Van der Meer, S.
- J. Rubio-Loyola
- J. Serrat
- J. Strassner
- Andreas Berl
- H. Meer
- D. Macedo
- 2008
Contribution
- C. Fahy
- S. Davy
- Z. Boudjemil
- Van der Meer, S.
- J. Rubio-Loyola
- J. Serrat
- J. Strassner
- Andreas Berl
- H. Meer
- D. Macedo
- 2008
Contribution
- H. Hlavacs
- K. Hummel
- R. Weidlich
- A. Houyou
- Andreas Berl
- H. Meer
- 2008
JournalArticle
- H. Hlavacs
- K. Hummel
- R. Weidlich
- A. Houyou
- Andreas Berl
- H. Meer
- 2008
In this paper, a new architecture for sharing resources among home environments is proposed. Our approach goes far beyond traditional systems for distributed virtualization, like PlanetLab or grid computing, as it relies on complete decentralization in a peer-to-peer (P2P) like manner and, above all, aims at energy efficiency. Energy metrics are defined, which have to be optimized by the system. The system itself uses virtualization to transparently move tasks from one home to another to optimally utilize the existing computing power. We present an overview of our proposed architecture, consisting of a middleware interconnecting computers and routers in possibly millions of homes using P2P techniques. For demonstrating the potential energy saving of distributed applications, we present an analytical model for sharing downloads, which is verified by discrete event simulation. The model represents an optimistic case without P2P overhead and fairness. The model allows to assess the upper limit of the saving potential. An enhanced version of the simulation model also shows the effect of fairness. The fairer the system gets, the less efficient it is.
Contribution
- S. Davy
- C. Fahy
- L. Griffin
- Z. Boudjemil
- Andreas Berl
- Andreas Fischer
- H. Meer
- J. Strassner
- 2008
Contribution
- Andreas Berl
- Andreas Fischer
- H. Meer
- A. Galis
- J. Rubio-Loyola
- 2008
JournalArticle
- H. Hlavacs
- K. Hummel
- R. Weidlich
- A. Houyou
- Andreas Berl
- H. Meer
- 2008
In this paper, a new architecture for sharing resources among home environments is proposed. Our approach goes far beyond traditional systems for distributed virtualization, like PlanetLab or grid computing, as it relies on complete decentralization in a peer-to-peer (P2P) like manner and, above all, aims at energy efficiency. Energy metrics are defined, which have to be optimized by the system. The system itself uses virtualization to transparently move tasks from one home to another to optimally utilize the existing computing power. We present an overview of our proposed architecture, consisting of a middleware interconnecting computers and routers in possibly millions of homes using P2P techniques. For demonstrating the potential energy saving of distributed applications, we present an analytical model for sharing downloads, which is verified by discrete event simulation. The model represents an optimistic case without P2P overhead and fairness. The model allows to assess the upper limit of the saving potential. An enhanced version of the simulation model also shows the effect of fairness. The fairer the system gets, the less efficient it is.
Contribution
- S. Davy
- C. Fahy
- L. Griffin
- Z. Boudjemil
- Andreas Berl
- Andreas Fischer
- H. Meer
- J. Strassner
- 2008
Contribution
- H. Hlavacs
- K. Hummel
- R. Weidlich
- A. Houyou
- Andreas Berl
- H. Meer
- 2008
Contribution
- L. Cheng
- A. Galis
- B. Mathieu
- K. Jean
- R. Ocampo
- L. Mamatas
- J. Rubio-Loyola
- J. Serrat
- Andreas Berl
- H. Meer
- S. Davy
- Z. Movahedi
- L. Lefevre
- 2008
Contribution
- L. Cheng
- A. Galis
- B. Mathieu
- K. Jean
- R. Ocampo
- L. Mamatas
- J. Rubio-Loyola
- J. Serrat
- Andreas Berl
- H. Meer
- S. Davy
- Z. Movahedi
- L. Lefevre
- 2008
Contribution
- Andreas Fischer
- Andreas Berl
- H. Meer
- 2008
Contribution
- A. Garcia
- Andreas Berl
- K. Hummel
- R. Weidlich
- A. Houyou
- K. Hackbarth
- H. Meer
- H. Hlavacs
- 2008
Contribution
- Andreas Fischer
- Andreas Berl
- H. Meer
- 2008
Contribution
- Andreas Fischer
- Andreas Berl
- H. Meer
- 2008
Contribution
- Andreas Berl
- Andreas Fischer
- H. Meer
- A. Galis
- J. Rubio-Loyola
- 2008
Contribution
- Andreas Fischer
- Andreas Berl
- H. Meer
- 2008
Contribution
- I. Dedinski
- Andreas Berl
- A. Hofmann
- S. Heglmeier
- Bernhard Sick
- et al.
- 2007
Contribution
- I. Dedinski
- Andreas Berl
- A. Hofmann
- S. Heglmeier
- Bernhard Sick
- et al.
- 2007
JournalArticle
- Andreas Berl
- H. Meer
- 2006
Mobility management mechanisms are used to provide mobility. Different kinds of mobility requiredifferent mobility management mechanisms. Common P2P applications are designed for fixed networks. Applying mobility to P2P applications is still a research issue. There are some approaches to improve P2P overlay networks in order to support the mobility of users
JournalArticle
- Andreas Berl
- H. Meer
- 2006
Mobility management mechanisms are used to provide mobility. Different kinds of mobility requiredifferent mobility management mechanisms. Common P2P applications are designed for fixed networks. Applying mobility to P2P applications is still a research issue. There are some approaches to improve P2P overlay networks in order to support the mobility of users
Projekte
SmiLE, MAID und SMART-VHB, siehe unten
Labore
Deep Learning KI-Labor (THD, im Aufbau), Smart Grid Labor (TC Freyung), WVDI Labor (TC Freyung), Home Entertainment and Connectivity Labor (THD)
Kernkompetenzen
- Elektromobilität und Flottenmanagement
- Rechnernetze
- Virtualisierung und Energieeffizienz
- Intelligentes Energieinformationsnetz (Smart Grid)
Vita
- seit 2019 Mitglied der Prüfungskommission der Fakultät für Angewandte Informatik.
- seit 2019 Wechsel in die Fakultät „Angewandte Informatik“.
- seit 2018 Inhaber einer Forschungsprofessur, verbunden mit einer Reduzierung der Lehre auf 9 SWS.
- 2015 - 2019 Mitglied der Prüfungskommission der Fakultät Elektrotechnik, Informatik und Medientechnik.
- seit 2015 Fachstudienberater für den Bachelorstudiengang „Angewandte Informatik“.
- seit 2015: Professur “Grundlagen der Informatik”, Fakultät für Elektrotechnik, Medientechnik und Informatik.
- 2005-2015: Forschung, Lehre und Projektarbeit in nationalen und internationalen Forschungsprojekten, am Lehrstuhl für Rechnernetze und Rechnerkommunikation, Fakultät für Informatik und Mathematik, Universität Passau
- 2011: Promotion an der Universität Passau, Promotionsthema: „Energy Efficiency in Office Computing Environments“. Ausgezeichnet mit dem „Wissenschaftspreis der Universität Passau 2012“.
- 2009: Gastwissenschaftler am Computing Department der Lancaster University in Großbritannien.
- 2000-2005: Studium (Dipl.-Informatiker mit Nebenfach Psychologie) Universität Passau.
Sonstiges
Projekte
Laufende Projekte
- SmiLE - Smartes und integriertes Laden von Elektrofahrzeugen auf Firmenparkplätzen https://zaf.th-deg.de/public/project/183 Bayerische Forschungsstiftung 05/2020 - 04/2023 (3 Jahre)
- MAID - “Master Studium Künstliche Intelligenz und Data Science” https://zaf.th-deg.de/public/project/114 EU, INTERREG 03/2019 - 07/2022 (3,5 Jahre)
- SMART-vhb - “Java Programmierung” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2020 - 10/2021 (1 Jahr)
Abgeschlossene Projekte
- CITRAM - “Citizen Science for Traffic Management” https://zaf.th-deg.de/public/project/101 BMVI - mFund 09/2018 - 11.2020 (2 Jahre)
- SMART-vhb - “Java Programmierung” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2019 - 08/2020 (1 Jahr)
- Smart Grid - “Smart Grid-Technologien für ländliche Gebiete und KMUs” http://www.smartgrid.science EU, INTERREG 04/2017 - 03/2020 (3 Jahre)
- WVDI - “Workstation-based virtual desktop infrastructure” https://zaf.th-deg.de/public/project/54 Sonderforschungsprojekt der THD 01/2017 - 12/2018 (2 Jahre)
- Electrific - “Enabling seamless electromobility through smart vehicle-grid integration” https://www.electrific.eu EU, Horizon 2020 09/2016 - 08/2019 (3 Jahre)
Vorlesungen
- Informatik 1 (in MATLAB)
- Informatik 2 (in C)
- Grundlagen der Informatik
- Einführung in die Programmierung (in C)
- Objektorientierte Softwaretechnik (in Java)
- Java Programmierung
- Programmieren I (in Java)
- Programmieren II (in Java)
- Architekturen für vernetzte Softwaresysteme
- Netzwerktechnik und IT-Netze
- Projektmanagement