Towards optimisation of replicated erasure codes for efficient cooperative repair in cloud storage systems
by Guangping Xu; Qunfang Mao; Huan Li; Shengli Li
International Journal of Computational Science and Engineering (IJCSE), Vol. 16, No. 2, 2018

Abstract: The study of erasure codes in distributed storage systems has two aspects: one is to reduce the data redundancy and the other one is to save the bandwidth cost during repair process. Repair-efficient codes are investigated to improve the repair performance. However the researches are mostly in theoretical stage and hardly applied in the practical distributed storage systems like cloud storage. In this paper, we present a unified framework to describe some repair-efficient regenerating codes in order to reduce the bandwidth cost in regenerating the lost data. We build an evaluation system to measure the performance of these codes during file encoding, file decoding and individual failure repairing with given feasible parameters. By the experimental comparison and analysis, we validate that the repair-efficient regenerating codes can significantly save much more repair time than traditional erasure codes during repair process at the same storage cost; in particular, some replication-based erasure codes can perform better than others in some certain cases. Our experiments can help researchers to decide which kind of erasure codes to use in building distributed storage systems.

Online publication date: Mon, 19-Mar-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com