Delay-Optimized File Retrieval under LT-Based Cloud Storage

Lu, Haifeng; Foh, Chuan Heng; Wen, Yonggang; Cai, Jianfei

doi:10.1109/tcc.2015.2430347

Cited by 16 publications

(9 citation statements)

References 29 publications

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“…Results indicates that by applying appropriate system parameters, good compromise can be achieved and proposed BLCS outperforms traditional ones. Main tradeoff between file retrieval delay and successful decoding probability is investigated in a distributed cloud storage system [17]. Proposed multi-stage user request scheme plays efficient role in average retrieval delay reduction.…”

Section: Related Workmentioning

confidence: 99%

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%

Performance and Time Improvement of LT Codes-based Cloud Storage

Chakani¹,

Mirrezaei²,

Hodtani³

2021

Preprint

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“…Therefore, we aim to reduce the file-retrieval delay by strategically scheduling the LT-coded packet requests. In our proposed multi-stage request scheme, the designing objective is to minimize the average file-retrieval [1] delay, for a given number of stages. The issue with this protocol is that the problem of delay optimal file-retrieval under a distributed cloud storage system is rectified.…”

Section: Delay-optimized File Retrieval Under Lt-based Cloud Storagementioning

confidence: 99%

Security and Privacy Based Data Sharing in Cloud Computing

Kumar.R¹,

Porselvan²,

S³

et al. 2018

IJIREM

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Data sharing in cloud storage is playing major role in Information Communication, since it can provide users with efficient and effective storage services. In order to provide security to the shared secret data, the cryptographic techniques are usually applied. However, the data cryptographic key is protected by the two factors. Only if both the factors works, the secrecy of the cryptographic key is held. 2) The cryptographic key can be revoked efficiently by integrating the proxy reencryption and key separation techniques. 3) The data is protected in a fine-grained way by adopting the attribute based encryption technique. Furthermore, the security analysis and performance evaluation show that our proposal is secure and efficient, respectively.

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“…FEC schemes [40] like Fountain Codes favour the cloud based/CDN deployments [41] where the content can then be downloaded from multiple sources and combined at the destination. FEC based on LDGM codes were proposed in [3] for error protection of video streams providing good results.…”

Section: Forward Error Correction (Fec)mentioning

confidence: 99%

Optical Network Technologies for Future Digital Cinema

Nazir

Kaleem

2016

Advances in Optical Technologies

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Digital technology has transformed the information flow and support infrastructure for numerous application domains, such as cellular communications. Cinematography, traditionally, a film based medium, has embraced digital technology leading to innovative transformations in its work flow. Digital cinema supports transmission of high resolution content enabled by the latest advancements in optical communications and video compression. In this paper we provide a survey of the optical network technologies for supporting this bandwidth intensive traffic class. We also highlight the significance and benefits of the state of the art in optical technologies that support the digital cinema work flow.

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Delay-Optimized File Retrieval under LT-Based Cloud Storage

Cited by 16 publications

References 29 publications

Performance and Time Improvement of LT Codes-based Cloud Storage

Performance and Time Improvement of LT Codes-based Cloud Storage

Security and Privacy Based Data Sharing in Cloud Computing

Optical Network Technologies for Future Digital Cinema

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