Cited by 8Green IT and SustainabilityPeer-to-Peer Network TechnologiesEnergy Efficiency in Computing

Towards green P2P: Analysis of energy consumption in P2P and approaches to control

Zhang, Peiqing, Helvik, Bjarne E.·2012·2012 International Conference on High Performance Computing & Simulation (HPCS)

Abstract

Nowadays, information and communication technology (ICT) has become more and more energy conscious. In this paper, we focus on peer-to-peer systems which contribute a major fraction of the Internet traffic. This paper proposes analytical models of energy consumption in P2P system. The model considers content pollution, the most common attack in P2P system, which has received little attention in previous work on green P2P. The analysis of the models shows that the popular sleep method in green computing potentially affects peer-to-peer performance. When the online time of clean copy holders is over cut, the system collapses. To find the balance between energy saving and system maintenance, the concept energy effectiveness is introduced. An approach for controlling energy consumption while keeping the system stable is suggested. We show that the whole system can be benefited if some warm-hearted and smart peers are willing to spend a little extra cost on energy, when most peers over cut their power on time. This approach can perfectly complement the popular sleep methods in green computing.

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Crossref · 10.1109/hpcsim.2012.6266934

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Authors
Zhang, P., & Helvik, B. E.
Affiliations
Norwegian University of Science and Technology (NO)
Venue
2012 International Conference on High Performance Computing & Simulation (HPCS)
Publisher
IEEE
Published
2012-07
Pages
336-342
OpenAlex
W2080489059
Cited by
8
References
22
Citations by year
2024: 1 · 2021: 2 · 2019: 2 · 2018: 1 · 2014: 1 · 2013: 1
FWCI
0.82
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on High Performance Computing & Simulation (HPCS) (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
  • Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
Keywords
peer-to-peer networks, energy consumption, green computing, energy effectiveness, system stability, energy-aware control, analytical model

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