{"title":"移动云计算中延迟敏感应用的资源分配","authors":"Omar Chakroun, S. Cherkaoui","doi":"10.1109/LCN.2016.105","DOIUrl":null,"url":null,"abstract":"In this work, we propose an approach for optimizing Mobile Cloud Computing (MCC) resources allocation using stochastic networks optimization based on Lyapunov optimization. The approach targets reducing users' requests experienced delay while enhancing resource availability. We use Lyapunov drift plus penalty optimization to ensure design stability and to minimise the delay cost function. We perform extensive simulations under different charge conditions in order to prove the effectiveness of the approach in handling user requests with lower delays. Simulation results show that the approach enhances the experienced delay while ensuring a good utilization of resource pools.","PeriodicalId":6864,"journal":{"name":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","volume":"18 1","pages":"615-618"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Resource Allocation for Delay Sensitive Applications in Mobile Cloud Computing\",\"authors\":\"Omar Chakroun, S. Cherkaoui\",\"doi\":\"10.1109/LCN.2016.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we propose an approach for optimizing Mobile Cloud Computing (MCC) resources allocation using stochastic networks optimization based on Lyapunov optimization. The approach targets reducing users' requests experienced delay while enhancing resource availability. We use Lyapunov drift plus penalty optimization to ensure design stability and to minimise the delay cost function. We perform extensive simulations under different charge conditions in order to prove the effectiveness of the approach in handling user requests with lower delays. Simulation results show that the approach enhances the experienced delay while ensuring a good utilization of resource pools.\",\"PeriodicalId\":6864,\"journal\":{\"name\":\"2016 IEEE 41st Conference on Local Computer Networks (LCN)\",\"volume\":\"18 1\",\"pages\":\"615-618\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 41st Conference on Local Computer Networks (LCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LCN.2016.105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 41st Conference on Local Computer Networks (LCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2016.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource Allocation for Delay Sensitive Applications in Mobile Cloud Computing
In this work, we propose an approach for optimizing Mobile Cloud Computing (MCC) resources allocation using stochastic networks optimization based on Lyapunov optimization. The approach targets reducing users' requests experienced delay while enhancing resource availability. We use Lyapunov drift plus penalty optimization to ensure design stability and to minimise the delay cost function. We perform extensive simulations under different charge conditions in order to prove the effectiveness of the approach in handling user requests with lower delays. Simulation results show that the approach enhances the experienced delay while ensuring a good utilization of resource pools.