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

页码：304 / 307

页数：4

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