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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Note that, in case a home is passive or active-blocked, the gateway is still up, and the home might consume services like home automation services from the distributed home environment.
Anderson T, Roscoe, T (2006) Learning from PlanetLab. In: Proceedings of the 3rd conference on USENIX workshop on real, large distributed systems
Bolch G, Greiner S, De Meer H, Trivedi K (2006) Queueing networks and markov Chains, 2nd edn. Wiley
Garcia AE, Berl A, Hummel KA, Weidlich R, Houyou AM, Hackbarth KD, De Meer H, Hlavacs H (2008) An economical cost model for fair resource sharing in virtual home environments (to be published in proceedings EuroNGI conference)
Hlavacs H, Hummel KA, Weidlich R, Houyou AM, De Meer H (2007) Modeling energy efficiency in distributed home environments. Technical report MIP-0714, Fakultät für Informatik und Mathematik, Universität Passau, December
IBM (2007) IBM virtualization view: virtualization can help power efficiency (2007) URL http://www-03.ibm.com/systems/virtualization/view/011607.html, January
Intel (2007) Energy Star* System Implementation URL www.intel.com/cd/channel/reseller/asmo-na/eng/339085.htm
Intel (2006) Increasing data center density while driving down power and cooling costs URL http://www.intel.com/business/bss/infrastructure/enterprise/power_thermal.pdf June
Intel (2006) Intel white paper 30057701: wireless intel SpeedStep power manager: optimizing power consumption for the intel PXA27x processor family (2004) URL http://sunsite.rediris.es/pub/mirror/intel/pca/applicationsprocessors/whitepapers/30057701.pdf
Koomey J (2006) Energystar, server energy measurement protocol, version 1.0, Following energy efficiency server benchmark technical workshop, Santa Clara, CA
Koomey J (2007) Estimating total power consumption by Servers in the US and the world. Tech. rep., Lawrence Berkeley National Laboratory and Stanford University
Peterson L, Roscoe T (2006) The design principles of PlanetLab. In: ACM SIGOPS operating systems review, vol 40, no 1. pp. 11–16
Rivoire S, Shah M, Ranganathan, P Kozyrakis, C (2007) JouleSort: a balanced energy-efficiency benchmark. In: Proceedings of the 2007 ACM SIGMOD international conference on management of data
Stokes J (2007) Power plays: how power consumption will shape the future of computing. Online article: ars technica. URL http://arstechnica.com/articles/paedia/cpu/power-plays.ars/2
Thain D, Tannenbaum T, Livny M (2002) Condor and the grid. In: Grid computing: making the global infrastructure a reality. Wiley (March)
Weiser M (1999) The computer for the 21st Century. In: ACM SIGMOBILE mobile computing and communications review: special issue dedicated to Mark Weiser, vol 3, no. 3, pp 3–11, July
Windeck, C (2007) Energy star 4.0. C’t German magazine for computer techniques, vol 14, pp 52–53
Windeck C (2007) Spar-o-matic. C’t German magazine for computer techniques, vol 15, pp 200–207
This project was partly funded by the German Research Foundation (Deutsche Forschungsgemeinschaft—DFG), contract number ME 1703/4–2 and by the EURO-FGI/Euro-NF—Network of Excellence, European Commission grant 028022/216366.
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Hlavacs, H., Weidlich, R., Hummel, K.A. et al. Distributed energy efficiency in future home environments. Ann. Telecommun. 63, 473–485 (2008). https://doi.org/10.1007/s12243-008-0045-2
- Energy efficiency
- Home networks