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.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
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
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

Files