Cited by 20Cloud Computing and Resource ManagementEnergy Efficiency in ComputingPeer-to-Peer Network Technologies

Energy Efficiency Dilemma: P2P-cloud vs. Datacenter

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Sharifi, Leila, Rameshan, Navaneeth, Freitag, Felix, Veiga, Luis·2014·2014 IEEE 6th International Conference on Cloud Computing Technology and Science

Abstract

Energy consumption is increasing in the IT sector and a remarkable part of this energy is consumed in data centers. Numerous techniques have been proposed to solve the energy efficiency issue in cloud systems. Recently, there are some efforts to decentralize the cloud via distributing data centers in diverse geographical positions. In this paper, we elaborate on the energy consumption of different cloud architectures, from a mega-datacenter to a P2P-cloud that provides extreme decentralization in terms of datacenter size. P2P-cloud is defined as a set of commodity host machines, connected to each other to serve a community. Our evaluation results reveal the fact that the more decentralized the system is, the less energy may be consumed in the system. Studying the energy efficiency of P2P-cloud infrastructure shows that the additional system design complexity involved is warranted with improved energy-efficiency and better locality for some services. Our analysis indicates that such P2P-cloud outperforms the classic datacenter model as long as it meets the locality conditions, which are commonplace in communities. Moreover, we illustrate how much energy can be saved for MapReduce applications with a diverse range of specifications by switching to P2P-cloud.

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Crossref · 10.1109/cloudcom.2014.137

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  • P2P communications require edge devices to be powered on continuously, which could lead to waste energy.

    “P2P communications require edge devices that have to be powered on continuously, which could lead to waste energy [191], [192].”

    From A Review on the Use of Blockchain for the Internet of Things (2018) · cites this paper as [192]

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Authors
Sharifi, L., Rameshan, N., Freitag, F., & Veiga, L.
Affiliations
  • Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT)
  • Universitat Politècnica de Catalunya (ES)
Venue
2014 IEEE 6th International Conference on Cloud Computing Technology and Science
Publisher
IEEE
Published
2014-12
Pages
611-619
OpenAlex
W2039078487
Cited by
20
References
0
Citations by year
2024: 1 · 2021: 3 · 2020: 1 · 2019: 3 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 1
FWCI
2.56
Type
conference paper
Language
en
Open access
Licence
other-oa
Locations
  • IEEE International Conference on Cloud Computing Technology and Science (publishedVersion)
  • RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion, other-oa)
  • UPCommons institutional repository (Universitat Politècnica de Catalunya) (submittedVersion, public-domain)
Funders
  • Generalitat de Catalunya
  • Fundação para a Ciência e a Tecnologia
Topics
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
  • Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
Keywords
energy efficiency, decentralized cloud computing, data center energy consumption, cloud architecture, locality, MapReduce, distributed computing

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