{"title":"卸载作为移动云应用的服务中间件","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":"{\"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}","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
Offloading as a Service Middleware for Mobile Cloud Apps
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
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