An Economical Cost Model for Fair Resource Sharing in Virtual Home Environments

García, Alberto Eloy Martos; Berl, Andreas; Hummel, Karin Anna; Weidlich, Roman; Houyou, Amine M.; Hackbarth, Klaus D.; Meer, Hermann de; Hlavacs, Helmut

doi:10.1109/ngi.2008.27

Cited by 7 publications

(12 citation statements)

References 10 publications

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“…This understanding of a virtualization based VHE architecture was already introduced in [3] and deepened with more simulation results in [5]. An economic model for fostering fair resource sharing was presented in [4]. The investigations were extended in [6] by the creation of a prototype for task virtualization for sending virtual machines between homes designed for minimal resource usage.…”

Section: Related Workmentioning

confidence: 99%

“…The VHE architecture approach as it was introduced in [3,4,5,6] enables the energy-efficient sharing of hardware resources amongst home networks. The main goal of the architecture is to achieve a consolidation of load (e.g.…”

Section: The Vhe Architecturementioning

confidence: 99%

“…Examples are fair distribution of energy consumption or the provision of a sufficient quality of service to users. A cost model to target such constraints in VHE is discussed in [4]. The distributed management has to be aware of the different states of the home networks (active, passive) and the resources that are available at a certain point of time.…”

Section: Network Virtualizationmentioning

confidence: 99%

“…Following energy-saving concepts of data-centers, an energy-efficient Virtual Home Environment (VHE) architecture is suggested and evaluated in [3,4,5,6] and presented in Section 3. Energy wastage in data centers is mainly caused by underutilized hardware.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, network virtualization approaches are evaluated by simulation. Initial simulations and evaluations of the suggested VHE architecture have already been shown in [3,4,5]. In this paper, the simulation is extended by network virtualization.…”

Section: Introductionmentioning

confidence: 99%

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Network Virtualization in Future Home Environments

Berl

Weidlich

Schrank

et al. 2009

Integrated Management of Systems, Services, Processes and People in IT

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Abstract. Home environments have a great potential 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 their energy-efficient operation, yet. This paper discusses network virtualization methods that are needed in future home environments to enable the energy-efficient cooperation of home networks. End-users share their available hardware resources (e.g. CPU, disk, or network resources) with other users in an energy-efficient and balanced way. To achieve such an envisioned future home environment, an architecture is suggested that combines different virtualization methods. In this paper, virtualization related requirements of the suggested architecture are discussed in detail. Network virtualization methods and concepts are compared to each other with respect to their usability in the architecture. In addition, initial virtualization approaches are simulated and evaluated with regard to benefits and complexity in the suggested architecture.

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Section: Related Workmentioning

confidence: 99%

Section: The Vhe Architecturementioning

confidence: 99%

Section: Network Virtualizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Network Virtualization in Future Home Environments

Berl

Weidlich

Schrank

et al. 2009

Integrated Management of Systems, Services, Processes and People in IT

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Distributed energy efficiency in future home environments

et al. 2008

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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.

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