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dc.contributor.authorHirsch, Matias
dc.contributor.authorMateos, Cristian
dc.contributor.authorZunino, Alejandro
dc.contributor.authorMajchrzak, Tim A.
dc.contributor.authorGrønli, Tor-Morten
dc.contributor.authorKaindl, Hermann
dc.date.accessioned2022-07-15T08:17:05Z
dc.date.available2022-07-15T08:17:05Z
dc.date.created2021-07-28T12:33:45Z
dc.date.issued2021
dc.identifier.citationProceedings of the Annual Hawaii International Conference on System Sciences (HICSS). 2021.en_US
dc.identifier.issn1530-1605
dc.identifier.urihttps://hdl.handle.net/11250/3005677
dc.description.abstractThe evolution of smartphones allows the continuous exploitation of computing resources. This increasingly applies also to distributed environments as exemplified through utilization of network router loads in edge computing and fog computing. Combining cloud computing and mobile smart devices in dew computing contexts enables new techniques for resource utilization, data collection and data processing. However, new challenges regarding job scheduling arise. Smartphones may be used in ad-hoc networks in this context, but their heterogeneity and energy usage must be considered. We propose novel heuristics for performance measuring of distributed computing systems integrated with mobile devices and compare them with previous heuristics in a simulation environment. Our results show an overall improvement in job completion and load balancing metrics compared to previous approaches. They highlight the usefulness of pursuing this research stream for aiming at industrial implementation and evaluation.en_US
dc.language.isoengen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA Simulation-based Performance Evaluation of Heuristics for Dew Computingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber10.en_US
dc.source.journalProceedings of the Annual Hawaii International Conference on System Sciences (HICSS)en_US
dc.identifier.doi10.24251/HICSS.2021.868
dc.identifier.cristin1922870
dc.relation.projectCONICET: 11220170100490COen_US
dc.relation.projectANPCyT: PICT-2018-03323en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal