Title
Performance Efficiency Analysis on Slepian-Wolf based Proof of Retrievability and Its Variants for Cloud Storage
Abstract
Cloud storage is an online storage service offered by Cloud Service Provider (CSP), where client's data is hosted on cloud servers. To ensure cloud data integrity and availability, a protocol known as Proof of Retrievability (PoR) was introduced. Recently, Slepian-Wolf Based Proof of Retrievability (SW-PoR) was introduced to provide cost-efficient and time consistent exact repair mechanism for erroneous data. However, to achieve maximum resiliency for data correctness, encoding process of SW-PoR requires longer computational time compared to the conventional storage method. In order to mitigate this issue, two variants of SW-PoR were introduced, namely Partial Binary Encoding for SW-PoR (PBE-SW-PoR) and Optimized SW-PoR (Opti-SW-PoR). PBE-SW-PoR allows part of the data, A, to be encoded by SW-PoR while the other part of the data, B, is secured by adapting Cyclic Redundancy Check (CRC) and replication. Opti-SW-PoR adapted the concept of partitioning to reduce computation time of SW-PoR. Both PBE-SW-PoR and Opti-SW-PoR have shown corresponding excellent computation performance in term of Encode, Retrieve and Repair times compared to original SW-PoR. However, other performance criteria such as overhead, storage cost and resiliency are not provided, compared and analyzed yet. This paper is written to provide, compare, and analyse the corresponding overhead, storage cost and resiliency of the SW-PoR and its variants, while providing more information on the future works to be done.
Year
DOI
Venue
2018
10.1109/IICAIET.2018.8638472
2018 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Keywords
Field
DocType
Encoding,Cloud computing,Servers,Redundancy,Maintenance engineering,Metadata,Resilience
Cyclic redundancy check,Computer science,Server,Correctness,Data integrity,Redundancy (engineering),Cloud storage,Encoding (memory),Cloud computing,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-7813-8
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Choon Beng Tan100.34
Mohd. Hanafi Ahmad Hijazi2968.63
Yuto Lim3107.71
Yong-Jin Park47212.85
Kashif Nisar500.34