{"title":"Offloading as a Service Middleware for Mobile Cloud Apps","authors":"Hamid Jadad, A. Touzene, K. Day","doi":"10.4018/ijcac.2020040103","DOIUrl":null,"url":null,"abstract":"Recently,muchresearchhasfocusedontheimprovementofmobileappperformanceandtheirpower optimization,byoffloadingcomputationfrommobiledevicestopubliccloudcomputingplatforms. However,thescalabilityoftheseoffloadingservicesonalargescaleisstillachallenge.Thisarticle describesasolutiontothisscalabilityproblembyproposingamiddlewarethatprovidesoffloading asaservice(OAS)tolarge-scaleimplementationofmobileusersandapps.Theproposedmiddleware OAS uses adaptive VM allocation and deallocation algorithms based on a CPU rate prediction model. Furthermore, it dynamically schedules the requests using a load-balancing algorithm to ensuremeetingQoSrequirementsatalowercost.Theauthorshavetestedtheproposedalgorithm byconductingmultiplesimulationsandcomparedourresultswithstate-of-the-artalgorithmsbased onvariousperformancemetricsundermultipleloadconditions.TheresultsshowthatOASachieves betterresponsetimewithaminimumnumberofVMsandreduces50%ofthecostcomparedto existingapproaches. KeywORdS Apps, Load Balancing, Mobile Cloud, Offloading, Scheduling","PeriodicalId":442336,"journal":{"name":"Int. J. Cloud Appl. Comput.","volume":"55 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Cloud Appl. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcac.2020040103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
卸载作为移动云应用的服务中间件
最近,muchresearchhasfocusedontheimprovementofmobileappperformanceandtheirpower优化,byoffloadingcomputationfrommobiledevicestopubliccloudcomputingplatforms。然而,thescalabilityoftheseoffloadingservicesonalargescaleisstillachallenge。Thisarticle describesasolutiontothisscalabilityproblembyproposingamiddlewarethatprovidesoffloading asaservice(美洲组织)tolarge-scaleimplementationofmobileusersandapps。Theproposedmiddleware oas采用了基于cpu rate预测模型的adaptivevmallocation和deallocation算法。此外,它还使用负载平衡算法动态地调度请求到ensuremeetingQoSrequirementsatalowercost。Theauthorshavetestedtheproposedalgorithm byconductingmultiplesimulationsandcomparedourresultswithstate-of-the-artalgorithmsbased onvariousperformancemetricsundermultipleloadconditions。TheresultsshowthatOASachieves betterresponsetimewithaminimumnumberofVMsandreduces50%ofthecostcomparedto existingapproaches。关键词应用程序,负载平衡,移动云,卸载,调度
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