{"title":"基于边缘和云的无服务器计算联合资源分配和请求调度方案","authors":"Meenakshi Sethunath, Yang Peng","doi":"10.1109/WF-IoT51360.2021.9595769","DOIUrl":null,"url":null,"abstract":"Serverless computing functions typically execute in the cloud. However, the high latency of accessing the cloud may require running them on edge servers, which have limited computing power and memory availability. This paper proposes a joint resource allocation and request dispatch scheme to execute serverless computing functions over edge and cloud collaboratively. This new scheme explicitly considers how to allocate server memory and operation budget for concurrent serverless computing requests considering the cold-start latency in design. The proposed scheme has been evaluated through extensive simulations. Its effectiveness has been proved by comparison with the upper-bound results.","PeriodicalId":184138,"journal":{"name":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Joint Resource Allocation and Request Dispatch Scheme for Performing Serverless Computing over Edge and Cloud\",\"authors\":\"Meenakshi Sethunath, Yang Peng\",\"doi\":\"10.1109/WF-IoT51360.2021.9595769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Serverless computing functions typically execute in the cloud. However, the high latency of accessing the cloud may require running them on edge servers, which have limited computing power and memory availability. This paper proposes a joint resource allocation and request dispatch scheme to execute serverless computing functions over edge and cloud collaboratively. This new scheme explicitly considers how to allocate server memory and operation budget for concurrent serverless computing requests considering the cold-start latency in design. The proposed scheme has been evaluated through extensive simulations. Its effectiveness has been proved by comparison with the upper-bound results.\",\"PeriodicalId\":184138,\"journal\":{\"name\":\"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WF-IoT51360.2021.9595769\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 7th World Forum on Internet of Things (WF-IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WF-IoT51360.2021.9595769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Joint Resource Allocation and Request Dispatch Scheme for Performing Serverless Computing over Edge and Cloud
Serverless computing functions typically execute in the cloud. However, the high latency of accessing the cloud may require running them on edge servers, which have limited computing power and memory availability. This paper proposes a joint resource allocation and request dispatch scheme to execute serverless computing functions over edge and cloud collaboratively. This new scheme explicitly considers how to allocate server memory and operation budget for concurrent serverless computing requests considering the cold-start latency in design. The proposed scheme has been evaluated through extensive simulations. Its effectiveness has been proved by comparison with the upper-bound results.