Kenji Tanaka, Y. Arikawa, T. Ito, Yukinari Matsuda, Keisuke Kamahori, Shinya Kaji, T. Sakamoto
{"title":"CiraaS","authors":"Kenji Tanaka, Y. Arikawa, T. Ito, Yukinari Matsuda, Keisuke Kamahori, Shinya Kaji, T. Sakamoto","doi":"10.1145/3546037.3546059","DOIUrl":null,"url":null,"abstract":"Cloud computing reduces provider and user costs by multiplexing workloads. Advantages of cloud computing include high utilization by temporal and spatial sharing computing resources and a subscription model that charges only for the resources and time used[1]. As recent cloud computing has evolved to maximize these advantages, microservices [11], function-as-a-service (FaaS) [10], and other more granular and short-lived cloud services have emerged. Today's FaaS are oriented towards fast provisioning, fine-grained billing times, tight memory constraints, stateless processing, and real-time processing [15]. However, since the context switching in CPUs is the bottleneck [8], their processing demands are no longer satisfactorily met. Therefore, a shift is expected toward a more efficient system architecture for cloud computing [10].","PeriodicalId":351682,"journal":{"name":"Proceedings of the SIGCOMM '22 Poster and Demo Sessions","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the SIGCOMM '22 Poster and Demo Sessions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3546037.3546059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cloud computing reduces provider and user costs by multiplexing workloads. Advantages of cloud computing include high utilization by temporal and spatial sharing computing resources and a subscription model that charges only for the resources and time used[1]. As recent cloud computing has evolved to maximize these advantages, microservices [11], function-as-a-service (FaaS) [10], and other more granular and short-lived cloud services have emerged. Today's FaaS are oriented towards fast provisioning, fine-grained billing times, tight memory constraints, stateless processing, and real-time processing [15]. However, since the context switching in CPUs is the bottleneck [8], their processing demands are no longer satisfactorily met. Therefore, a shift is expected toward a more efficient system architecture for cloud computing [10].