RobuSTore

Xia, Huaxia; Chien, Andrew A.

doi:10.1145/1362622.1362682

Cited by 35 publications

(2 citation statements)

References 12 publications

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“…Results show an essential trade-off between expected download time and storage space which can be useful in design of system with delay constraints. Exploiting LT codes with speculative access mechanisms for parallel write and read in a distributed storage architecture leads to high and robust performance [11,13,14]. Due to introducing symmetric data redundancy and rateless property of LT codes, proposed system has high flexibility on data access and improvement compared to traditional parallel storage systems.…”

Section: Related Workmentioning

confidence: 99%

“…If near optimal codes are exploited, the variation of one original symbol only changes few numbers of encoded symbols, whereas in optimal codes-based system, almost all of encoded symbols may be affected by a little bit of modification. Although the number of original packets may be smaller in previous methods, the decoding process performs much faster than in the other storage services [11,12]. In this paper, we investigate performance of LT codes-based cloud storage with two recent degree distributions in addition to Robust Soliton distribution.…”

Section: Introductionmentioning

confidence: 99%

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Performance and Time Improvement of LT Codes-based Cloud Storage

Chakani¹,

Mirrezaei²,

Hodtani³

2021

Preprint

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Outsourcing data on the cloud storage services has already attracted great attention due to prospect of rapid data growth and storing efficiencies for customers. The coding-based cloud storage approach can offer more reliable and faster solution with less storage space in comparison with replication-based cloud storage. LT codes as a famous member of rateless codes family can improve performance of storage systems utilizing good degree distributions. Since degree distribution plays key role in LT codes performance, recently introduced Poisson Robust Soliton Distribution (PRSD) and Combined Poisson Robust Soliton Distribution (CPRSD) motivate us to investigate LT codes-based cloud storage system. So, we exploit LT codes with new degree distributions in order to provide lower average degree and higher decoding efficiency, specifically when receiving fewer encoding symbols, comparing with popular degree distribution, Robust Soliton Distribution (RSD). In this paper, we show that proposed cloud storage outperforms traditional ones in terms of storage space and robustness encountering unavailability of encoding symbols, due to compatible properties of PRSD and CPRSD with cloud storage essence. Furthermore, modified decoding process based on required encoding symbols behavior is presented to reduce data retrieval time. Numerical results confirm improvement of cloud storage performance.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%