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Energy-Aware Fault Tolerant Task offloading of Mobile Cloud Computing

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dc.citedby13
dc.contributor.authorAbd S.K.en_US
dc.contributor.authorAl-Haddad S.A.R.en_US
dc.contributor.authorHashim F.en_US
dc.contributor.authorAbdullah A.B.H.J.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorid56516784600en_US
dc.contributor.authorid49963059800en_US
dc.contributor.authorid57202656008en_US
dc.contributor.authorid8984213200en_US
dc.contributor.authorid16023225600en_US
dc.date.accessioned2023-05-29T06:38:19Z
dc.date.available2023-05-29T06:38:19Z
dc.date.issued2017
dc.descriptionBioinformatics; Cloud computing; Digital storage; Energy efficiency; Energy utilization; Mobile devices; Mobile telecommunication systems; Power management; Computational task; Fault-tolerant; Processing time; Scheduling techniques; Storage capability; Task offloading; Task-processing; Time management; Mobile cloud computingen_US
dc.description.abstractWith all the hardware advances that have beenachieved lately relating to hand-held mobile devices, stillresource-intensive applications consider an important issue. Theheavy computational tasks of these applications cannot beprocessed in the mobile device itself because of their limitedprocessing and storage capabilities. Recently, many attemptshave been achieved to handle this issue. Most of these attemptsare depending on utilizing remote servers of the cloudenvironment. This process which takes advantageous of cloudservices allows mobile users offloading their computationallycomplicated tasks to be processed in remote servers of cloudenvironment, giving the birth to what is called mobile cloudcomputing model. Despite the benefits that outcome from taskoffloading process, challenges of energy efficiency (e.g. energyconsumption for task processing), reliability (e.g. node failure),and time management (e.g. task deadline and execution time) stillneed to be significantly addressed. In this paper, we propose anovel scheduling technique based on DNA combinations andgenetic algorithm processing under the precedence level. Thistechnique is suggested to decrease the ratio of energyconsumption, minimize the processing time of the task executionwithout exceeding the task deadline, and provide reliability byretrieving the processed data successfully by the mobile deviceuser and avoid task failure in mobile cloud computing model. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7944889
dc.identifier.doi10.1109/MobileCloud.2017.26
dc.identifier.epage164
dc.identifier.scopus2-s2.0-85021915761
dc.identifier.spage161
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85021915761&doi=10.1109%2fMobileCloud.2017.26&partnerID=40&md5=d9fa2ffe1baeb4b24ac348b1fabbb852
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23193
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2017
dc.titleEnergy-Aware Fault Tolerant Task offloading of Mobile Cloud Computingen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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