Publication:
Energy cost model for frequent item set discovery in unstructured P2P networks

dc.contributor.coauthorDemirkaya, Ender
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.kuauthorÇem, Emrah
dc.contributor.kuauthorEsiner, Ertem
dc.contributor.kuauthorÖzaydın, Burak
dc.contributor.kuauthorÖzkasap, Öznur
dc.contributor.kuprofilePhD Student
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.contributor.yokid113507
dc.date.accessioned2024-11-09T23:27:17Z
dc.date.issued2012
dc.description.abstractFor large scale distributed systems, designing energy efficient protocols and services has become as significant as considering conventional performance criteria like scalability, reliability, fault-tolerance and security. We consider frequent item set discovery problem in this context. Although it has attracted attention due to its extensive applicability in diverse areas, there is no prior work on energy cost model for such distributed protocols. In this paper, we develop an energy cost model for frequent item set discovery in unstructured P2P networks. To the best of our knowledge, this is the first study that proposes an energy cost model for a generic peer using gossip-based communication. As a case study protocol, we use our gossip-based approach ProFID for frequent item set discovery. After developing the energy cost model, we examine the effect of protocol parameters on energy consumption using our simulation model on PeerSim and compare push pull method of ProFID with the well-known push-based gossiping approach. Based on the analysis results, we reformulate the upper bound for the peer's energy cost.
dc.description.indexedbyWoS
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doi10.1007/978-1-4471-2155-8_14
dc.identifier.isbn978-1-4471-2154-1
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84887831721
dc.identifier.urihttp://dx.doi.org/10.1007/978-1-4471-2155-8_14
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11679
dc.identifier.wos398249500014
dc.keywordsEnergy cost model
dc.keywordsEnergy efficiency
dc.keywordsPeer-to-peer
dc.keywordsGossip-based Epidemic
dc.keywordsFrequent items
dc.languageEnglish
dc.publisherSpringer
dc.sourceComputer and Information Sciences II
dc.subjectComputer science
dc.subjectTheory methods
dc.subjectEngineering
dc.subjectElectrical electronic engineering
dc.titleEnergy cost model for frequent item set discovery in unstructured P2P networks
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0002-3290-2514
local.contributor.authoridN/A
local.contributor.authorid0000-0003-4343-0986
local.contributor.kuauthorÇem, Emrah
local.contributor.kuauthorEsiner, Ertem
local.contributor.kuauthorÖzaydın, Burak
local.contributor.kuauthorÖzkasap, Öznur
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relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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