Autoscaling tiered cloud storage in Anna

被引：12
|
作者：
Wu, Chenggang [1 ]
Sreekanti, Vikram [1 ]
Hellerstein, Joseph M. [1 ]
机构：
[1] Univ Calif Berkeley, 465 Soda Hall, Berkeley, CA 94720 USA
来源：
VLDB JOURNAL | 2021年 / 30卷 / 01期
关键词：
Autoscaling; Key-value store; Cloud storage system; Data replication; Cost efficiency; SYSTEM;
D O I：
10.1007/s00778-020-00632-7
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we describe how we extended a distributed key-value store called Anna into an autoscaling, multi-tier service for the cloud. In its extended form, Anna is designed to overcome the narrow cost-performance limitations typical of current cloud storage systems. We describe three key aspects of Anna's new design: multi-master selective replication of hot keys, a vertical tiering of storage layers with different cost-performance trade-offs, and horizontal elasticity of each tier to add and remove nodes in response to load dynamics. Anna's policy engine uses these mechanisms to balance service-level objectives around cost, latency, and fault tolerance. Experimental results explore the behavior of Anna's mechanisms and policy, exhibiting orders of magnitude efficiency improvements over both commodity cloud KVS services and research systems.
引用
收藏
页码：25 / 43
页数：19
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