NDLI: Use of erasure code for low latency cloud storage

Content Provider	IEEE Xplore Digital Library
Author	Liang, Guanfeng Kozat, Ulas C.
Copyright Year	2014
Description	Author affiliation: DOCOMO Innovations Inc. Palo Alto, California, USA (Liang, Guanfeng; Kozat, Ulas C.)
Abstract	Recent literature including our past works provide analysis and solutions for using (i) erasure coding, (ii) parallelism, or (iii) variable slicing/chunking (i.e., dividing an object of a specific size into a variable number of smaller chunks) in speeding up the I/O performance of storage clouds. Generally, such systems can be characterized by the tuple of parameters (n, k, L): each data file is represented by k equally sized data chunks and encoded into at least n coded chunks; there are L parallel/independent servers/connections in total, each of which can download 1 coded chunk at a time; retrieval of a file is carried out by downloading n coded chunks in parallel and considered finished upon completion of any k downloading jobs. Bounds have been developed for very restricted special cases (n = k and n = L) with exponential service time, and very little is known when k < n < L and non-exponential service time. We investigate and develop bounds and approximations for the general case. We also present latest experimental results on one of the most popular public cloud storage service.
Starting Page	576
Ending Page	581
File Size	662344
Page Count	6
File Format	PDF
ISBN	9781479980093
DOI	10.1109/ALLERTON.2014.7028507
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Queueing Cloud computing Erasure code Upper bound Cloud storage Encoding Delays Servers Approximation methods Queueing analysis Delay
Content Type	Text
Resource Type	Article

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