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Prof. Dr. Andreas Berl

Faculty of Computer Science

Professors

Dean

  • Dean of the Faculty of Applied Computer Science
  • Course coordinator for the Artificial Intelligence and Data Science master’s course

K 102

0991/3615-530

consulting time

Tuesday 13h - 14h

Sortierung:
Journal article
  • Andreas Berl
  • H. Meer

Mobility, Mobility Management Mechanisms, and a Mobile P2P Architecture.

In: Transactions on Automated Control Systems vol. 1 pg. 179-186

  • (2006)

show abstract

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
Contribution
  • I. Dedinski
  • Andreas Berl
  • A. Hofmann
  • S. Heglmeier
  • Bernhard Sick
  • et al.

A Source Routing Solution to Non-Transitive Connectivity Problems in Distributed Hash Tables.

In: Proceedings of 12th IEEE Symposium on Computers and Communications (ISCC’07) [July 1-4, 2007; Aveiro, Portugal]. pg. 601-608

  • (2007)
Contribution
  • Andreas Fischer
  • Andreas Berl
  • H. Meer

Virtual Network Management with XEN.

In: Tagungsband Herbsttreffen 2008 der GI/VTG Fachgruppe Betriebssysteme und KuVS (Oktober 2008; Garching).

  • (2008)
Journal article
  • H. Hlavacs
  • K. Hummel
  • R. Weidlich
  • A. Houyou
  • Andreas Berl
  • H. Meer

Distributed Energy Efficiency in Future Home Environments.

In: Annals of Telecommunications (Special issue: Next Generation Network and Service Management) vol. 63 pg. 473-485

  • (2008)

show abstract

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
  • H. Hlavacs
  • K. Hummel
  • R. Weidlich
  • A. Houyou
  • Andreas Berl
  • H. Meer

Energy Efficiency in Future Home Environments: A Distributed Approach.

In: Home networking. First IFIP WG 6.2 home networking conference (IHN'2007) [December 10-12, 2007; Paris, France] (International Federation for Information Processing (IFIP)) pg. 69-84

  • Eds.:
  • X. Carcelle
  • K. Al Agha
  • G. Pujolle

Springer New York

  • (2008)
Contribution
  • Andreas Fischer
  • Andreas Berl
  • H. Meer

Virtualized Networks based on System Virtualization.

In: Proceedings of the 2nd GI/ITG KuVS Workshop on The Future Internet (November 2008; Karlsruhe).

  • (2008)
Contribution
  • S. Davy
  • C. Fahy
  • L. Griffin
  • Z. Boudjemil
  • Andreas Berl
  • Andreas Fischer
  • H. Meer
  • J. Strassner

Towards a Policy-Based Autonomic Virtual Network to Support Differentiated Security Services.

In: Proceedings of the International Conference on Telecommunications and Multimedia (TEMU 2008) [July 16-18, 2008; Ierapetra, Crete, Greece].

  • (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

Self-organising Management Overlays for Future Internet Services.

In: Modelling Autonomic Communications Environments - Proceedings of the 3rd IEEE international workshop, MACE 2008 (September 22-26, 2008; Samos Island, Greece). (LNCS sublibrary. Computer communication networks and telecommunications) pg. 74-89

  • Eds.:
  • S. Denazis
  • M. Burgess
  • Van der Meer, S.

Springer Berlin

  • (2008)
Contribution
  • A. Garcia
  • Andreas Berl
  • K. Hummel
  • R. Weidlich
  • A. Houyou
  • K. Hackbarth
  • H. Meer
  • H. Hlavacs

An Economical Cost Model for fair resource sharing in Virtual Home Environments.

In: Proceedings of the 4th Euro-NGI International Conference on Next Generation Internet Networks (NGI 2008). pg. 153-160

IEEE Press

  • (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

Towards an Information Model That Supports Service-Aware, Self-Managing Virtual Resources.

In: Modelling Autonomic Communications Environments - Proceedings of the 3rd IEEE international workshop, MACE 2008 (September 22-26, 2008; Samos Island, Greece). (LNCS sublibrary. Computer communication networks and telecommunications) pg. 102-107

  • Eds.:
  • S. Denazis
  • M. Burgess
  • Van der Meer, S.

Springer Berlin

  • (2008)
Contribution
  • Andreas Berl
  • Andreas Fischer
  • H. Meer
  • A. Galis
  • J. Rubio-Loyola

Management of Virtual Networks.

In: Middleware technologies for enabling next generation network services and applications (Samos Island, Greece, 22nd - 26th September 2008; Proceedings of the 5th International Workshop on Next Generation Networking Middleware (NGNM 2008) and 4th IEEE/IFIP International Workshop on End-to-end Virtualization and Grid Management (EVGM 2008)). (Multicon lecture note series) pg. 197-202

  • Eds.:
  • T. Magedanz

Multicon Multimedia Consulting Schöneiche bei Berlin

  • (2008)
Journal article
  • Andreas Berl
  • E. Gelenbe
  • M. Di Girolamo
  • H. Giuliani
  • H. Meer
  • M. Quan Dang
  • K. Pentikousis

Energy-Efficient Cloud Computing.

In: The Computer Journal pg. 1-7

  • (2009)

show abstract

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.
Journal article
  • Andreas Berl
  • Andreas Fischer
  • H. Meer

Using System Virtualization to Create Virtualized Networks.

In: Electronic Communications of the EASST (Workshops der Wissenschaftlichen Konferenz Kommunikation in Verteilten Systemen (WowKiVS2009) vol. 17 pg. 1-12

  • (2009)

show abstract

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
  • Andreas Berl
  • H. Meer

Integration of Mobile Devices into Popular Peer-to-Peer Networks.

In: Proceedings of the 5th Euro-NGI Conference on Next Generation Internet Networks (July 1-3, 2009; Aveiro, Portugal).

IEEE Press Piscataway, NJ

  • (2009)
Contribution
  • J. Rubio-Loyola
  • J. Serrat
  • A. Astorga
  • Andreas Fischer
  • Andreas Berl
  • H. Meer
  • G. Koumoutsos

A Viewpoint of the Network Management Paradigm for Future Internet Networks.

In: Proceedings of the 1st IFIP/IEEE International Workshop on Management of the Future Internet (ManFI 2009). pg. 93-100

IEEE Press

  • (2009)
Contribution
  • K. Tutschku
  • Andreas Berl
  • T. Hoßfeld
  • H. Meer

Mobile P2P in Cellular Networks: Architecture and Performance.

In: Mobile peer-to-peer computing for next generation distributed environments. Advancing conceptual and algorithmic applications pg. 349-373

  • Eds.:
  • B.-C. Seet

Information Science Reference Hershey, PA

  • (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

Management Architecture and Systems for Future Internet Networks.

In: Towards the Future Internet. A European Research Perspective pg. 112-122

  • Eds.:
  • D. Hausheer
  • V. Lotz
  • J. Domingue
  • T. Zahariadis
  • S. Krco
  • A. Gavras
  • A. Galis
  • G. Tselentis

IOS Press Washington, DC

  • (2009)
Contribution
  • Andreas Berl
  • H. Hlavacs
  • R. Weidlich
  • M. Schrank
  • H. Meer

Network Virtualization in Future Home Environments.

In: Integrated management of systems, services, processes and people in IT. Proceedings of the 20th International Workshop on Distributed Systems: Operations and Management (DSOM09) (Lecture Notes in Computer Science) pg. 177-190

  • Eds.:
  • C. Bartolini

Springer Berlin [u.a.]

  • (2009)
Contribution
  • Andreas Berl
  • H. Meer
  • T. Hoßfeld

P2P Solutions for Cellular Networks.

In: Proceedings of the 1st International Conference on Advances in P2P Systems (AP2PS 2009). pg. 54-59

IEEE Press

  • (2009)
Journal article
  • Andreas Berl
  • H. Meer
  • H. Hlavacs
  • T. Treutner

Virtualization in Energy-Efficient Future Home Environments.

In: IEEE Communications Magazine vol. 47 pg. 62-67

  • (2009)

show abstract

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

An Energy-Efficient Distributed Office Environment.

In: Proceedings of the 1st International Conference on Emerging Network Intelligence (EMERGING 2009); includes the 5th European Conference on Universal Multiservice Networks (ECUMN 2009). pg. 117-122

IEEE Press

  • (2009)
Journal article
  • Andreas Berl
  • N. Race
  • J. Ishmael
  • H. Meer

Network Virtualization in Energy-Efficient Office Environments.

In: Computer Networks (ComNet) vol. 54 pg. 2856-2868

  • (2010)

show abstract

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

A Virtualized Energy-Efficient Office Environment.

In: Proceedings of the ACM SIGCOMM 1st International Conference On Energy-Efficient Computing and Networking (e-Energy 2010). pg. 11-20

  • (2010)
Journal article
  • Andreas Berl
  • Andreas Fischer
  • H. Meer

Virtualisierung im Future Internet - Virtualisierungsmethoden und Anwendungen.

In: Informatik-Spektrum vol. 33 pg. 186-194

  • (2010)

DOI: 10.1007/s00287-010-0420-z

show abstract

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
  • Andreas Berl
  • H. Meer

Energy-Efficient Office Environments.

In: Energy efficiency in large scale distributed systems. Proceeding of the COST action IC0804 - 1st Year pg. 101-105

IRIT

  • (2010)
Contribution
  • Andreas Berl

Modeling Mobility.

In: Modeling and Tools for Network Simulation. pg. 337-339

  • Eds.:
  • J. Gross
  • K. Wehrle
  • M. Güneş

Springer Berlin; New York

  • (2010)
Journal article
  • Andreas Berl
  • H. Meer

An Energy-Consumption Model for Energy-Efficient Office Environments.

In: Future Generation Computer Systems vol. 27 pg. 1047-1055

  • (2011)

show abstract

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.
Contribution
  • G. Lovász
  • Andreas Berl
  • H. Meer

Energy-Efficient and Performance-Conserving Resource Allocation in Data Centers.

In: Energy efficiency in large scale distributed systems. Proceeding of the COST action IC0804 pg. 31-35

  • Eds.:
  • J.-M. Pierson
  • H. Hlavacs

IRIT [Toulouse]

  • (2011)
Journal article
  • Andreas Berl
  • H. Meer

Integrating Mobile Cellular Devices into Popular Peer-to-Peer Systems.

In: Telecommunication Systems vol. 48 pg. 173-184

  • (2011)

show abstract

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.
Journal article
  • Andreas Berl
  • H. Meer

Redução do consumo de energia de computadores de escritórios.

In: Electricidade Moderna pg. 66-77

  • (2011)
Contribution
  • G. Lovász
  • F. Niedermeier
  • Andreas Berl
  • H. Meer

Energy- and Performance-Aware Resource Management in G-Lab and Future Internet Infrastructures.

In: Proceedings of the 11th Würzburg Workshop on IP: Joint ITG and Euro-NF Workshop "Visions of Future Generation Networks" (EuroView2011).

  • (2011)
Thesis
  • Andreas Berl

Energy Efficiency in Office Computing Environments. Wissenschaftspreis der Universität Passau 2012.

Universität Passau Passau Fakultät für Informatik und Mathematik

  • 2011 (2011)
Contribution
  • S. Klingert
  • Andreas Berl
  • M. Beck
  • R. Serban
  • M. Di Girolamo
  • G. Giuliani
  • H. Meer
  • A. Salden

Sustainable Energy Management in Data Centres through Collaboration.

In: Energy efficient data centers. First International Workshop, E²DC 2012, Madrid, Spain, Mai 8, 2012, Revised selected papers (LNCS sublibrary. SL 5, Computer communication networks and telecommunications) pg. 13-24

  • Eds.:
  • J. Huusko

Springer Berlin; New York

  • (2012)
Journal article
  • G. Lovász
  • F. Niedermeier
  • Andreas Berl
  • H. Meer

Energia e futura Internet. RTI - Redes, Telecom e Instalacoes.

In: Aranda Editora Tecnica e Cultural vol. 13 pg. 70-75

  • (2012)
Journal article
  • Andreas Berl
  • G. Lovász
  • H. Meer
  • T. Zettler

Survey on Energy Efficiency in Office and Residential Computing Environments.

In: Journal on Green Engineering vol. 2 pg. 255-272

  • (2012)

show abstract

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
  • Andreas Berl
  • G. Lovász
  • F. Tüllenburg
  • H. Meer

Modelling Power Adaption Flexibility of Data Centres for Demand-Response Management.

In: Energy Efficiency in Large Scale Distributed Systems: COST IC0804 European Conference, EE-LSDS 2013, Vienna, Austria, April 22-24, 2013, Revised Selected Papers. (Lecture Notes in Computer Science 8046) pg. 63-66

  • Eds.:
  • L. Dittmann
  • J.-M. Pierson
  • G. Da Costa

Springer

  • (2013)
Contribution
  • Andreas Berl
  • M. Niedermeier
  • H. Meer

Smart Grid Considerations - Energy Efficiency vs. Security.

In: Advances in Computers: Green and Sustainable Computing: Part II. pg. 159-198

  • Eds.:
  • A. Memon

Academic Press

  • (2013)
Contribution
  • Andreas Berl
  • M. Beck
  • S. Klingert
  • H. Meer

The Benefits of Integrating Data Centres into Demand-Response Management: A Local Case Study.

In: Energieinformatik 2013. 2. D-A-C-H Energieinformatik Konferenz (booksocg.at)

  • Eds.:
  • P. Palensky

Oesterreichische Computer Gesellschaft Wien

  • (2013)
Journal article
  • Andreas Berl
  • M. Niedermeier
  • Andreas Fischer
  • D. Hutchinson
  • H. Meer

Virtual Energy Information Network: A Resilience Perspective.

In: e&i Elektrotechnik & Informationstechnik (Special Issue on ’Smart Grid and Security’) vol. 130 pg. 121-126

  • (2013)

show abstract

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
  • 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

VDE-Positionspapier Energieinformationsnetze und -systeme (Smart Grid Security).

In: VDE-Kongress 2014 Smart Cities (Intelligente Lösungen für das Leben in der Zukunft, Kongressbeiträge 20./21.10.2014, Frankfurt/Main, Messe).

  • Eds.:
  • VDE Verband d. Elektrotechnik Elektronik Informationstechnik e.V., VDE Verband d. Elektrotechnik Elektronik Informationstechnik

VDE VERLAG Berlin

  • (2014)
Journal article
  • Andreas Berl
  • H. Meer

Intelligentes Stromnetz der Zukunft.

In: Niederbayern-Forum e.V. - Das Who is Who der Niederbayerischen Energiewirtschaft pg. 90-91

  • (2014)
BookEdited

Special Issue on Energy-Aware Data Centres: Architecture, Infrastructure, and Communication. Part B.

In: Ad Hoc Networks vol. 25

  • Eds.:
  • S. Klingert
  • X. Hesselbach
  • Andreas Berl

Elsevier B.V.

  • (2015)
Contribution
  • Markus Eider
  • Diana Schramm
  • Andreas Berl
  • R. Basmadjian
  • H. Meer
  • S. Klingert
  • T. Schulze
  • F. Kutzner
  • C. Kacperski
  • M. Štolba

Seamless Electromobility.

In: ACM e-Energy '17: Proceedings of the Eighth ACM International Conference on Future Energy Systems (May 16-19, 2017; Shatin, Hong Kong). pg. 316-321

ACM New York NY

  • (2017)

DOI: 10.1145/3077839.3078461

show abstract

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
  • Nicki Bodenschatz
  • Diana Schramm
  • Markus Eider
  • Andreas Berl

Classification of Electric Vehicle Fleets Considering the Complexity of Fleet Charging Schedules. [Status: Presented].

In: ACM e-Energy '18: Proceedings of the Ninth ACM International Conference on Future Energy Systems (June 12-15, 2018; Karlsruhe, Germany).

ACM New York, NY

  • (2018)
Contribution
  • Markus Eider
  • Andreas Berl

Dynamic Generation of Recommendations for EV Battery Health.

In: 2018 International Conference of Electrical and Electronic Technologies for Automotive (AUTOMOTIVE) [9-11 July, 2018; Milan, Italy].

  • (2018)

DOI: 10.23919/EETA.2018.8493182

show abstract

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
  • Markus Eider
  • Diana Schramm
  • Nicki Bodenschatz
  • Andreas Berl
  • P. Danner
  • H. Meer

A Novel Approach on Battery Health Monitoring.

In: Proceedings of the 7th Conference on Future Automotive Technology (CoFAT) [May 8th-9th, 2018; Fürstenfeldbruck].

  • (2018)

Contribution
  • Christina Sigl
  • Andreas Berl

Benchmarking and User Types in Virtual Desktop Infrastructures.

In: Proceedings of the 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) [September 6-8, 2018; Cluj-Napoca, Romania]. pg. 47-54

  • Eds.:
  • R. Slavescu

  • (2018)

Journal article
  • Diana Schramm
  • Nicki Bodenschatz
  • Andreas Berl

Usage Profiling in Electric Vehicles.

In: Bavarian Journal of Applied Sciences vol. 4 pg. 342-353

  • (2018)

DOI: 10.25929/bjas.v4i1.52

show abstract

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.
Contribution
  • Markus Eider
  • Andreas Berl

Dynamic EV Battery Health Recommendations.

In: ACM e-Energy '18: Proceedings of the Ninth ACM International Conference on Future Energy Systems (June 12-15, 2018; Karlsruhe, Germany). pg. 586-592

ACM New York, NY

  • (2018)
Contribution
  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl

Management of Virtual Desktops in Energy Efficient Office Environments Using Thin Clients.

In: Proceedings of the Ninth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2018), colocated with ComputationWorld 2018 (IARIA; Barcelona, Spain; February 18-22, 2018).

  • (2018)

Contribution
  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl
  • J. Geyer
  • R. Vohnout
  • M. Prokýšek

The Role of Smart Meters in P2P Energy Trading in the Low Voltage Grid.

In: Proceedings of ACIT 2018 (International Conference "Advanced Computer Information Technologies"). pg. 280-284

  • (2018)

Lecture
  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl

Management of Virtual Desktops in Energy Efficient Office Environments Using Thin Clients.

In: Ninth International Conference on Cloud Computing, GRIDs, and Virtualization (CLOUD COMPUTING 2018), colocated with ComputationWorld 2018

Barcelona, Spanien

  • 18.-22.02.2018 (2018)
Lecture
  • Christina Sigl
  • Andreas Berl
  • Alexander Faschingbauer

Smart Grid-Technologien für ländliche Gebiete und KMU. Posterpräsentation.

In: 5. Tag der Forschung der THD 2018

Technische Hochschule Deggendorf Deggendorf

  • 08.03.2018 (2018)
Lecture
  • Nicki Bodenschatz
  • Markus Eider
  • Diana Schramm
  • Andreas Berl

Optimierte Ladeplanung von Elektrofahrzeugflotten. Posterpräsentation.

In: 5. Tag der Forschung der THD 2018

Technische Hochschule Deggendorf Deggendorf

  • 08.03.2018 (2018)
Lecture
  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl

WVDI - Workstation based Virtual Desktop Infrastructure. Eine verteilte hyperkonvergente Infrastruktur.. Posterpräsentation.

In: 5. Tag der Forschung der THD 2018

Technische Hochschule Deggendorf Deggendorf

  • 08.03.2018 (2018)
Lecture
  • Christina Sigl
  • Alexander Faschingbauer
  • Andreas Berl
  • J. Geyer
  • R. Vohnout
  • M. Prokýšek

The Role of Smart Meters in P2P Energy Trading in the Low Voltage Grid.

In: Advanced Computer Information Technologies- ACIT 2018

České Budějovice, Czech Republic

  • 01.-03.06.2018 (2018)
Lecture
  • Christina Sigl
  • Andreas Berl

Benchmarking and User Types in Virtual Desktop Infrastructures.

In: 2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)

Cluj-Napoca, Romania

  • 06.-08.09.2018 (2018)
Lecture
  • Markus Eider
  • Andreas Berl

Verlängerte Batterielebensdauer von Elektrofahrzeugen durch dynamische Nutzungsempfehlungen.

In: 4. Jahreskonferenz des Netzwerks INDIGO (Internet und Digitalisierung Ostbayern)

Technische Hochschule Deggendorf Deggendorf

  • 23.11.2018 (2018)
Contribution
  • Nicki Bodenschatz
  • Andreas Berl

Viability and Optimality of Electric Vehicle Fleet Schedules.

In: 2019 9th International Conference on Advanced Computer Information Technologies (ACIT'2019) [Ceske Budejovice, Czech Republic, June 5-7, 2019]. pg. 425-430

  • Eds.:
  • Institute of Electrical and Electronics Engineers Inc.

  • (2019)

show abstract

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

Smart Grid Technologies for Rural Areas and SMEs.

In: Shaping a Sustainable Energy Future: 9th Colloquium of the Munich School of Engineering (August 1, 2019). Book of Abstracts pg. 71

  • Eds.:
  • T. Hamacher

  • (2019)
Journal article
  • Christina Sigl
  • Siegfried Hildebrand
  • Alexander Faschingbauer
  • Andreas Berl
  • J. Geyer
  • M. Prokýšek
  • R. Vohnout

Sustainable Peer-to-Peer Energy Trading Principles and Smart Meter Requirements for Smart Grids.

In: Bavarian Journal of Applied Sciences vol. 5 pg. 461-475

  • (2019)

DOI: 10.25929/bjas.v5i1.66

show abstract

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
  • Markus Eider
  • Andreas Berl

Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets.

In: Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]. pg. 741-746

  • (2020)

DOI: 10.1109/ACIT49673.2020.9208875

show abstract

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

Requirements for prescriptive recommender systems extending the lifetime of EV batteries.

In: Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]. pg. 412-417

  • (2020)

DOI: 10.1109/ACIT49673.2020.9209011

show abstract

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
  • Nicki Bodenschatz
  • Markus Eider
  • Andreas Berl

Mixed-Integer-Linear-Programming model for the charging scheduling of electric vehicle fleets.

In: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

Deggendorf

  • 16.-18.09.2020 (2020)
Lecture
  • Markus Eider
  • Andreas Berl

Requirements for prescriptive recommender systems extending the lifetime of EV batteries.

In: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

Deggendorf

  • 16.-18.09.2020 (2020)
Contribution
  • M. Ciolacu
  • Bernhard Haderer
  • Andreas Berl
  • P. M. Svasta

Education 4.0: Innovation Learning Lab for AI-Analysis and Concept Proposal.

In: 2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME). pg. 45-50

IEEE

  • (2021)

DOI: 10.1109/SIITME53254.2021.9663426

show abstract

The Industry 4.0 revolution marks a turning point in many areas – the digitization of the industry, and exposes the shortcomings in Higher Education, from inadequate infrastructures to digital literacy, digital teaching and learning scenarios. This paper describes and analyses the hardware and the software concept for an Education 4.0 Innovation Learning Lab for Artificial Intelligence (E4ILLAI). This can be used in higher education, but also for further research projects. Graphics processing unit (GPU) and AI developer kits are analysed, as an important part of the laboratory, but also criteria such as modularity, easy to use, prototyping, low cost, and flexibility plays an important role. Our contribution is developing competences in dealing with AI systems such as robots for autonomous systems (e.g. Waveshare JetBots) as well as with humanoid robots (NAO6) for support in the health care institutions.
Contribution
  • Markus Eider
  • Nicki Bodenschatz
  • Andreas Berl

Evaluation of machine learning algorithms for the prediction of simulated company parking space occupancy.

In: Proceedings of the 2021 11th International Conference on Advanced Computer Information Technologies (ACIT) [September 15-17, 2021; Deggendorf]. pg. 739-743

  • Eds.:
  • Institute of Electrical and Electronics Engineers Inc.

  • (2021)

DOI: 10.1109/ACIT52158.2021.9548487

show abstract

Parking lots of cities and companies are congested when employees get to work in the morning hours. Some people might need to switch to public parking spaces if there is no spot left at their workplace. This is a serious challenge, as nowadays and especially in the future, the ratio of electric vehicles in transportation is growing. Therefore, electric vehicle users require guaranteed charging spots for the continuation of their journey. To enable reservations of parking and charging spots ahead of time, companies want to gain knowledge on upcoming vehicle numbers. So, there is a need for prediction models. However, there is little research done on prediction technologies for company parking spaces. In this paper, four different models from machine learning and statistics are compared in predicting the presence of vehicles from the user groups employees, fleet and visitors. They are trained on simulated occupancy data throughout one year. An evaluation shows that decision trees and artificial neural networks perform well for the case of company parking.
Contribution
  • Nicki Bodenschatz
  • Markus Eider
  • Andreas Berl

Challenges and requirements of electric vehicle fleet charging at company parking sites.

In: Proceedings of the 2021 11th International Conference on Advanced Computer Information Technologies (ACIT) [September 15-17, 2021; Deggendorf]. pg. 623-628

  • Eds.:
  • Institute of Electrical and Electronics Engineers Inc.

  • (2021)

DOI: 10.1109/ACIT52158.2021.9548563

show abstract

The uprising number of electric vehicles on company parking sites creates a variety of challenges, in terms of scheduling charging processes. In uncoordinated charging, peaks loads can occur that harm the low voltage grid and make the company pay a higher electricity bill. Further, some vehicles may not be charged enough to be used for service appointments at customer homes. In a first step, this paper highlights the individual problems in detail that can appear in a company parking scenario. Next, it is shown that charging scheduling in a company case is not trivial. Finally, requirements to a software-based solution of the challenges are derived from the individual problems.
Lecture
  • Andreas Berl

Ein Lehrkonzept in Zeiten von Corona.

In: 12. DACHS-Symposium für Lehre und angewandte Forschung in Informatik und Wirtschaftsinformatik

Deggendorf

  • 13.-14.09.2021 (2021)
Contribution
  • Nicki Bodenschatz
  • Markus Eider
  • D. Kratschmer
  • Andreas Berl
  • A. Zimmermann

Battery-friendly charging process scheduling of electric vehicle fleets at company sites.

In: Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023).

  • Eds.:
  • Institute of Electrical and Electronics Engineers Inc.

  • (2023)
Journal article
  • Markus Eider
  • B. Sick
  • Andreas Berl

Context-aware recommendations for extended electric vehicle battery lifetime.

In: Sustainable Computing: Informatics and Systems vol. 37

  • (2023)

DOI: 10.1016/j.suscom.2022.100845

show abstract

Electric vehicles are a means of reducing CO2 emissions in transportation. However, the sustainability of electric vehicle batteries is affected by battery health degradation, which decreases their overall lifetime. This results in a substantial amount of depleted batteries due to replacements. Users have a major impact on battery health degradation through their actions while handling electric vehicles, such as the use of fast charging. To mitigate this problem, this article presents a methodology to generate user guidance for battery-friendly actions in the upcoming use. Therefore, we first identify general recommendations from related work and combine them with the vehicle context in order to define context-aware recommendations in the form of if–then rules. These context-aware recommendations are then used to generate user advice. Second, the article covers how to predict the vehicle context in order to determine necessary recommendations. Third, a prescriptive recommendation system architecture is proposed, which takes vehicle context information, and produces user guidance. Finally, we test the proposed architecture using fuzzy logic as decision system. Overall, the architecture provides satisfactory user advice.

labs

Deep Learning AI lab (Deggs)

core competencies

  • Electromobility and fleet management
  • Virtualisation and energy efficiency
  • Smart Grid

Forschungs- und Lehrgebiete

Projekts

  • SmiLE - Smartes und integriertes Laden von Elektrofahrzeugen auf Firmenparkplätzen https://zaf.th-deg.de/public/project/183 Bayerische Forschungsstiftung 05/2020 - 04/2023 (3 years)
  • MAID - “Master Artificial Intelligence and Data Science” https://zaf.th-deg.de/public/project/114 EU, INTERREG 03/2019 - 12/2022 (3.75 years)
  • CITRAM - “Citizen Science for Traffic Management” https://zaf.th-deg.de/public/project/101 BMVI - mFund 09/2018 - 10.2023 (3 years)
  • SMART-vhb - “Java Programming” Virtuelle Hochschule Bayern https://smart.vhb.org 09/2019 - 10/2022 (3 years)
  • Smart Grid - “Smart Grid-Technologien für ländliche Gebiete und KMUs” http://www.smartgrid.science EU, INTERREG 04/2017 - 03/2020 (3 years)
  • WVDI - “Workstation-based virtual desktop infrastructure” https://zaf.th-deg.de/public/project/54 Sonderforschungsprojekt der THD 01/2017 - 12/2018 (2 years)
  • Electrific - “Enabling seamless electromobility through smart vehicle-grid integration” https://www.electrific.eu EU, Horizon 2020 09/2016 - 08/2019 (3 years)

Teaching

  • Foundations of computer science
  • Introduction to programming (in C)
  • Programming 1 (in Java)
  • Programming 2 (in Java)
  • Architectures for networked software systems
  • Network technology and IT networks
  • Project management

Vita

  • 2019 - 2022 Dean of the Faculty of Applied Computer Science
  • since 2021 Course coordinator for the Artificial Intelligence and Data Science master’s course
  • 2019 - 2024 Member of the examination committee of the department Applied Informatics / Infotronik.
  • 2019 - 2022 Member of the Faculty Council of the Faculty of Applied Computer Science
  • 2019 Change to the department „Applied Informatics / Infotronik“.
  • 2018 - 2022 Research professorship, combined with a reduction in teaching to 9 SWS.
  • 2015 - 2019 Member of the examination committee of the department Electrical Engineering, Media Technology, and Computer Science.
  • 2015 - 2024 Course Consultant of Applied Informatics / Infotronik.
  • since 2015: Professor for “Grundlagen der Informatik (Principles of computer science)” at the Deggendorf Institute of Technology, department of Electrical Engineering, Media Technology, and Computer Science.
  • 2005-2015: Research, teaching and project work in national and international research projects at the department of computer networks and computer communications, University of Passau.
  • 2011: PhD at the University of Passau, topic: „Energy Efficiency in Office Computing Environments“. Awarded with „Wissenschaftspreis der Universität Passau 2012“.
  • 2009: Guest scientist at the Computing Department, Lancaster University, GB.
  • 2000-2005: Studies of computer science and psychology, University of Passau.