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Characterization and evaluation of mobile crowdsensing performance and energy indicators

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dc.contributor.author Pinciroli R.
dc.contributor.author Distefano S.
dc.date.accessioned 2018-09-19T21:54:13Z
dc.date.available 2018-09-19T21:54:13Z
dc.date.issued 2017
dc.identifier.issn 0163-5999
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/144465
dc.description.abstract Mobile Crowdsensing (MCS) is a contribution-based paradigm involving mobiles in pervasive application deployment and operation, pushed by the evergrowing and widespread dissemination of personal devices. Nevertheless, MCS is still lacking of some key features to become a disruptive paradigm. Among others, control on performance and reliability, mainly due to the contribution churning. For mitigating the impact of churning, several policies such as redundancy, over-provisioning and checkpointing can be adopted but, to properly design and evaluate such policies, specific techniques and tools are required. This paper attempts to fill this gap by proposing a new technique for the evaluation of relevant performance and energy figures of merit for MCS systems. It allows to get insights on them from three different perspectives: end users, contributors and service providers. Based on queuing networks (QN), the proposed technique relaxes the assumptions of existing solutions allowing a stochastic characterization of underlying phenomena through general, non exponential distributions. To cope with the contribution churning it extends the QN semantics of a service station with variable number of servers, implementing proper mechanisms to manage the memory issues thus arising in the underlying process. This way, a preliminary validation of the proposed QN model against an analytic one and an in depth investigation also considering checkpointing have been performed through a case study.
dc.relation.ispartofseries Performance Evaluation Review
dc.subject Checkpointing.
dc.subject Energy consumption
dc.subject G/G/x
dc.subject Mobile Crowdsensing
dc.subject Performance
dc.subject Queuing networks
dc.title Characterization and evaluation of mobile crowdsensing performance and energy indicators
dc.type Conference Paper
dc.relation.ispartofseries-issue 4
dc.relation.ispartofseries-volume 44
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 80
dc.source.id SCOPUS01635999-2017-44-4-SID85019864354

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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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