Reducing Repair Traffic in P2P Backup Systems

Author:

Huang Zhen1,Biersack Ernst2,Peng Yuxing1

Affiliation:

1. National University of Defense Technology

2. Eurecom

Abstract

Peer to peer backup systems store data on “unreliable” peers that can leave the system at any moment. In this case, the only way to assure durability of the data is to add redundancy using either replication or erasure codes. Erasure codes are able to provide the same reliability as replication requiring much less storage space. Erasure coding breaks the data into blocks that are encoded and then stored on different nodes. However, when storage nodes permanently abandon the system, new redundant blocks must be created, which is referred to as repair. For “classical” erasure codes, generating a new block requires the transmission of k blocks over the network, resulting in a high repair traffic. Recently, two new classes of erasure codes, Regenerating Codes and Hierarchical Codes, have been proposed that significantly reduce the repair traffic. Regenerating Codes reduce the amount of data uploaded by each peer involved in the repair, while Hierarchical Codes reduce the number of nodes participating in the repair. In this article we propose to combine these two codes to devise a new class of erasure codes called ER-Hierarchical Codes that combine the advantages of both.

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Reference36 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Repairing multiple failures adaptively with erasure codes in distributed storage systems;Concurrency and Computation: Practice and Experience;2015-09-20

2. Enabling Concurrent Failure Recovery for Regenerating-Coding-Based Storage Systems: From Theory to Practice;IEEE Transactions on Computers;2015-07-01

3. Cooperative repair based on tree structure for multiple failures in distributed storage systems with regenerating codes;Proceedings of the 12th ACM International Conference on Computing Frontiers;2015-05-06

4. REDU: reducing redundancy and duplication for multi-failure recovery in erasure-coded storages;The Journal of Supercomputing;2015-03-10

5. Aggregation Decoding for Multi-failure Recovery in Erasure-Coded Storage;2014 IEEE 17th International Conference on Computational Science and Engineering;2014-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3