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Turkish Journal of Electrical Engineering and Computer Sciences

DOI

10.3906/elk-1701-222

Abstract

Deduplication of data is essential to effectively use cloud storage. As the metadata in deduplicated cloud storage are shared across multiple users, concurrent updates may result in inconsistencies. A coarse-grained locking strategy that has been proposed earlier to overcome this difficulty is not suited for inline deduplication owing to poor performance. In the present work, a fine-grained locking strategy that overcomes this shortcoming is proposed. A metadata structure along with a set of concurrent control mechanisms to accomplish this is presented. This strategy is shown to improve the throughput by as much as 60% with only marginal lock overhead.

Keywords

Cloud storage, data deduplication, concurrency issues, locking

First Page

936

Last Page

947

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