{"title":"Leveraging Edge Computing Resource Orchestration to Improve QoS for IoT","authors":"Wen-Pin Lai, Yuhe Chang, Chien-Chang Liu, Wei-Cheng Lei, Li-Der Chou","doi":"10.1109/ICTC55196.2022.9952624","DOIUrl":null,"url":null,"abstract":"Edge computing is to deploy micro data centers (MDCs) at the edge nodes of the network to provide services nearby, using the bandwidth of the edge network while reducing network delay. We propose the Greedy-based Resource Orchestration for IoT Edge Computing (GROTEC) mechanism that runs in edge computing environment. The GROTEC mechanism uses a global resource orchestrator to orchestrate the resources of the MDCs with a greedy strategy. The GROTEC mechanism includes a request dispatching algorithm, a request offloading mechanism and a service migration mechanism. The experiment results show that the request offloading mechanism of GROTEC reduces the duration of MDC being overloaded by 97.9%, decreases the network traffic of overloaded MDC by 91.9%, and improves the latency of requests by 12.6%. From the experiment results, the service migration mechanism of GROTEC can ease the load of the cloud data center and improve the latency of requests by 26.8%.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC55196.2022.9952624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Edge computing is to deploy micro data centers (MDCs) at the edge nodes of the network to provide services nearby, using the bandwidth of the edge network while reducing network delay. We propose the Greedy-based Resource Orchestration for IoT Edge Computing (GROTEC) mechanism that runs in edge computing environment. The GROTEC mechanism uses a global resource orchestrator to orchestrate the resources of the MDCs with a greedy strategy. The GROTEC mechanism includes a request dispatching algorithm, a request offloading mechanism and a service migration mechanism. The experiment results show that the request offloading mechanism of GROTEC reduces the duration of MDC being overloaded by 97.9%, decreases the network traffic of overloaded MDC by 91.9%, and improves the latency of requests by 12.6%. From the experiment results, the service migration mechanism of GROTEC can ease the load of the cloud data center and improve the latency of requests by 26.8%.
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