{"title":"迈向下一代分布式速率限制器","authors":"Iram Nawab, Sameer G. Kulkarni","doi":"10.1109/CCGridW59191.2023.00083","DOIUrl":null,"url":null,"abstract":"The cloud services made accessible over different network paths and served by multiple backend servers demand distributed rate-limiting solutions. Emerging technologies such as 5G/6G, IoT, and Edge cloud are changing the network landscape dynamically and demand more sophisticated rate-limiting policies. However, the current designs of Distributed rate limiters (DRLs) demand to tradeoff the overheads (communication, computation, state/memory) with accuracy in terms of configuring the rate-limiters with parameters like the number of connections, bandwidth, etc. Hence, we propose accurate and low-overhead containerized distributed rate-limiting functions managed by hierarchical software-defined networking controllers.","PeriodicalId":341115,"journal":{"name":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward Next-Generation Distributed Rate-limiters\",\"authors\":\"Iram Nawab, Sameer G. Kulkarni\",\"doi\":\"10.1109/CCGridW59191.2023.00083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The cloud services made accessible over different network paths and served by multiple backend servers demand distributed rate-limiting solutions. Emerging technologies such as 5G/6G, IoT, and Edge cloud are changing the network landscape dynamically and demand more sophisticated rate-limiting policies. However, the current designs of Distributed rate limiters (DRLs) demand to tradeoff the overheads (communication, computation, state/memory) with accuracy in terms of configuring the rate-limiters with parameters like the number of connections, bandwidth, etc. Hence, we propose accurate and low-overhead containerized distributed rate-limiting functions managed by hierarchical software-defined networking controllers.\",\"PeriodicalId\":341115,\"journal\":{\"name\":\"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGridW59191.2023.00083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGridW59191.2023.00083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The cloud services made accessible over different network paths and served by multiple backend servers demand distributed rate-limiting solutions. Emerging technologies such as 5G/6G, IoT, and Edge cloud are changing the network landscape dynamically and demand more sophisticated rate-limiting policies. However, the current designs of Distributed rate limiters (DRLs) demand to tradeoff the overheads (communication, computation, state/memory) with accuracy in terms of configuring the rate-limiters with parameters like the number of connections, bandwidth, etc. Hence, we propose accurate and low-overhead containerized distributed rate-limiting functions managed by hierarchical software-defined networking controllers.