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Erasure Coding-Oriented Data Update for Cloud Storage: A Survey by Xiao, Yifei; Zhou, Shijie; Zhong, Linpeng is a Engineering article available to read on EtoBox.

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Erasure coding is the leading technique to achieve resilient redundancy in cloud storage systems. However, it introduces two prominent issues: data repair and data update. Compare to data repair, data update is much more common. A variety of update schemes based on erasure coding have been proposed in the literature to optimize data update, such as computation optimization, network traffic overhead reduction, IO overhead reduction, and modern hardware acceleration. However, all of these techniques were proposed individually previously. In this work, we seek to summarize them systematically and group them in a new form. First, we generalize the state-of-the-art researches and introduce existing classifications. Moreover, based on our observation, we propose two classifications: resource-based classification and tierbased classification. In resource-based classification, we group these techniques according to the resource they optimize and introduce them in detail. In tier-based classification, we propose a novel hybrid technique framework with five tiers and conduct a comprehensive comparison between these techniques. We make a conjecture that most techniques in different tiers can

Who reads Erasure Coding-Oriented Data Update for Cloud Storage: A Survey?

Author

Xiao, Yifei; Zhou, Shijie; Zhong, Linpeng

Publisher

Institute of Electrical and Electronics Engineers; Institute of Electrical and Electronics Engineers Inc.; Institute of Electrical and Electronics Engineers (IEEE); Research Square (ISSN 2169-3536)

Published

2020

Language

EN

Field

Engineering (Physical Sciences)