MTFT : Multi-Tenant Fair Throttling

被引：0
|
作者：
Song, Ilhan [1 ]
Lee, Sang -Won [1 ]
机构：
[1] Sungkyunkwan Univ, Coll Software, Suwon, South Korea
来源：
2023 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING, BIGCOMP | 2023年
基金：
新加坡国家研究基金会;
关键词：
component; Datacenters; Operating Systems; I/O; Containers;
D O I：
10.1109/BigComp57234.2023.00060
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Distributing resources fairly to tenants is important in cloud data center. However, traditional Fair I/O schedulers are not suitable for container environments. It is because of the unfairness and performance degradations. Blk-throttle method was used to distribute bandwidth fairly without performance degradations. But this method has the disadvantage that workconservation is impossible due to static. In this work, the Multi-Tenant Fair Throttling Tool (MTFT), a dynamic blkthrottle controller, was implemented that maintains fairness and minimizes performance degradations during simultaneous execution.
引用
收藏
页码：304 / 307
页数：4
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