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dc.contributor.authorKonstantinidis, Andreasen
dc.contributor.authorZeinalipour-Yazdi, Constantinos D.en
dc.contributor.authorAndreou, Panayiotis G.en
dc.contributor.authorSamaras, George S.en
dc.contributor.authorChrysanthis, Panos K.en
dc.creatorKonstantinidis, Andreasen
dc.creatorZeinalipour-Yazdi, Constantinos D.en
dc.creatorAndreou, Panayiotis G.en
dc.creatorSamaras, George S.en
dc.creatorChrysanthis, Panos K.en
dc.description.abstractSocial communities of smartphone users have recently gained significant interest due to their wide social penetration. The applications in this domain, however, currently rely on centralized or cloud-like architectures for data sharing and searching tasks, introducing both data-disclosure and performance concerns. In this paper, we present a distributed search architecture for intelligent search of objects in a mobile social community. Our framework, coined SmartOpt, is founded on an in-situ data storage model, where captured objects remain local on smartphones and searches then take place over an intelligent multi-objective lookup structure we compute dynamically. Our MO-QRT structure optimizes several conflicting objectives, using a multi-objective evolutionary algorithm that calculates a diverse set of high quality non-dominated solutions in a single run. Then a decision-making subsystem is utilized to tune the retrieval preferences of the query user. We assess our ideas both using trace-driven experiments with mobility and social patterns derived by Microsoft's GeoLife project, DBLP and Pics 'n' Trails but also using our real Android SmartP2P ( system deployed over our SmartLab ( testbed of 40+ smartphones. Our study reveals that SmartOpt yields high query recall rates of 95 %, with one order of magnitude less time and two orders of magnitude less energy than its competitors. © 2012 Springer Science+Business Media, LLC.en
dc.sourceDistributed and Parallel Databasesen
dc.subjectSocial networksen
dc.subjectMultiobjective optimizationen
dc.subjectSignal encodingen
dc.subjectEvolutionary algorithmsen
dc.subjectDigital storageen
dc.subjectOrders of magnitudeen
dc.subjectInformation managementen
dc.subjectConflicting objectivesen
dc.subjectMulti-objective optimizationen
dc.subjectPeer to peeren
dc.subjectMulti objective evolutionary algorithmsen
dc.subjectNondominated solutionsen
dc.subjectEvolutionary computationen
dc.subjectIntelligent searchen
dc.subjectMobile social communitiesen
dc.titleIntelligent search in social communities of smartphone usersen
dc.description.endingpage149 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.description.notes<p>Cited By :4</p>en
dc.source.abbreviationDistrib Parallel Databasesen
dc.contributor.orcidZeinalipour-Yazdi, Constantinos D. [0000-0002-8388-1549]
dc.contributor.orcidAndreou, Panayiotis G. [0000-0002-6369-1094]
dc.contributor.orcidChrysanthis, Panos K. [0000-0001-7189-9816]

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