DocumentCode
729550
Title
On adaptive (functional MSR code based) distributed storage systems
Author
Rai, Brijesh Kumar
Author_Institution
Dept. of Electron. & Electr. Eng., Indian Inst. of Technol. Guwahati, Guwahati, India
fYear
2015
fDate
22-24 June 2015
Firstpage
46
Lastpage
50
Abstract
Suppose that a data storage service provider implements a functional MSR code based distributed storage system (DSS). Consider a scenario where the service provider has implemented an (n1, k1, B, d1, t1) functional MSR code based DSS, where B is the file that is stored. At a later point of time, due to certain considerations (such as storage cost, download bandwidth to repair failed nodes etc.), the service provider wants to convert this (n1, k1, B, d1, t1) functional MSR code based DSS to an (n2, k2, B, d2, t2) functional MSR code based DSS. The service provider wants to perform this conversion at the lowest possible cost, i.e., by downloading the minimum amount of data. The question is: How should one design an (n1, k1, B, d1, t1) functional MSR code based DSS so that it requires minimum download to convert the DSS to an (n2, k2, B, d2, t2) functional MSR code based DSS? In this paper, we propose a coding scheme which requires the minimum download while converting an (n1, k1, B, d1, t1) functional MSR code based DSS to an (n2, k2, B, d2, t2) functional MSR code based DSS.
Keywords
data handling; distributed databases; DSS; adaptive functional MSR code; data storage service provider; distributed storage system; distributed storage systems; download bandwidth; repair failed nodes; service provider; storage cost; Adaptive systems; Conferences; Decision support systems; Encoding; Maintenance engineering; Memory; Network coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Coding (NetCod), 2015 International Symposium on
Conference_Location
Sydney, NSW
Type
conf
DOI
10.1109/NETCOD.2015.7176787
Filename
7176787
Link To Document