Paper Info
Title
ClusterSR: Cluster-Aware Scattered Repair in Erasure-Coded Storage
Abstract
Erasure coding is a storage-efficient means to guarantee data reliability in today’s commodity storage systems, yet its repair performance is seriously hindered by the substantial repair traffic. Repair in clustered storage systems is even complicated because of the scarcity of the cross-cluster bandwidth. We present ClusterSR, a cluster-aware scattered repair approach. ClusterSR minimizes the cross-cluster repair traffic by carefully choosing the clusters for reading and repairing chunks. It further balances the cross-cluster repair traffic by scheduling the repair of multiple chunks. Large-scale simulation and Alibaba Cloud ECS experiments show that ClusterSR can reduce 6.7-52.7% of the cross-cluster repair traffic and improve 14.1-68.8% of the repair throughput.
Year
DOI
Venue
2020
10.1109/IPDPS47924.2020.00015
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
DocType
ISSN
ISBN
Conference
1530-2075
978-1-7281-6876-0
Citations 
PageRank 
References 
2
0.37
0
Authors
4
Name
Order
Citations
PageRank
Zhirong Shen18518.72
Jiwu Shu270972.71
Zhijie Huang3263.19
Yingxun Fu4204.43