Publication:
Energy efficiency in P2P systems and applications

dc.contributor.coauthorMasoumzadeh, Seyed-Saeid
dc.contributor.coauthorBrienza, Simone
dc.contributor.coauthorHlavacs, Helmut
dc.contributor.coauthorAnastasi, Giuseppe
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorÖzkasap, Öznur
dc.contributor.kuauthorCebeci, Sena Efsun
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.yokid113507
dc.date.accessioned2024-11-09T23:42:35Z
dc.date.issued2015
dc.description.abstractThis chapter presents a general taxonomy to classify possible approaches to the energy problem in peer-to-peer (P2P) systems and applications. It provides a classification of energy-aware P2P approaches into three main classes, based on the techniques they use, namely, sleep/wakeup, hierarchical, and resource allocation. The chapter surveys the main solutions available in the literature, focusing on two relevant classes of P2P protocols, namely, file-sharing/distribution protocols (e.g., BitTorrent and Gnutella) and epidemic P2P protocols. It compares, in terms of energy efficiency, the two main approaches to file sharing, that is, client-server and P2P. The chapter also presents some techniques for optimizing the energy efficiency in P2P file sharing. BitTorrent implements an unstructured overlay network customized for file sharing. Designing energy-efficient epidemic (gossip-based) protocols and services has become significant because of their wide usage in large-scale distributed systems. There exist two main classes of epidemic algorithms, namely, flat and hierarchical.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doi10.1002/9781118981122.ch9
dc.identifier.isbn9781-1189-8112-2
dc.identifier.isbn9781-1188-6463-0
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015987894anddoi=10.1002%2f9781118981122.ch9andpartnerID=40andmd5=bca284c1339b5b154a42b06c53d48704
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85015987894
dc.identifier.urihttp://dx.doi.org/10.1002/9781118981122.ch9
dc.identifier.urihttps://hdl.handle.net/20.500.14288/13350
dc.identifier.wos359930000010
dc.keywordsEnergy efficiency
dc.keywordsEpidemic P2P protocols
dc.keywordsFile-sharing/distribution applications
dc.keywordsPeer-to-peer (P2P) systems
dc.keywordsDistributed computer systems
dc.keywordsEpidemiology
dc.keywordsGreen computing
dc.keywordsPeer to peer networks
dc.keywordsPower management (telecommunication)
dc.keywordsEnergy efficient
dc.keywordsEpidemic algorithm
dc.keywordsFile Sharing
dc.keywordsLarge-scale distributed system
dc.keywordsP2P file sharing
dc.keywordsP2P protocols
dc.keywordsPeer-to-Peer system
dc.keywordsUnstructured overlay networks
dc.keywordsEnergy efficiency
dc.languageEnglish
dc.publisherWiley
dc.sourceLarge-scale Distributed Systems and Energy Efficiency: A Holistic View
dc.subjectComputer engineering
dc.titleEnergy efficiency in P2P systems and applications
dc.typeBook Chapter
dspace.entity.typePublication
local.contributor.authorid0000-0003-4343-0986
local.contributor.authorid0000-0002-5985-1366
local.contributor.kuauthorÖzkasap, Öznur
local.contributor.kuauthorCebeci, Sena Efsun
local.publication.orgunit1College of Engineering
local.publication.orgunit1Graduate School of Sciences and Engineering
local.publication.orgunit2Department of Computer Engineering
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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