Relevant bibliographies by topics / Storage-Repair Bandwidth Tradeoff

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  2. Conference papers

Academic literature on the topic 'Storage-Repair Bandwidth Tradeoff'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Storage-Repair Bandwidth Tradeoff"

1

Lee, Hyuk, and Jungwoo Lee. "An Outer Bound on the Storage-Bandwidth Tradeoff of Exact-Repair Cooperative Regenerating Codes." IEEE Transactions on Information Theory 63, no. 11 (November 2017): 7267–82. http://dx.doi.org/10.1109/tit.2017.2742947.

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2

Shah, Nihar B., K. V. Rashmi, P. Vijay Kumar, and Kannan Ramchandran. "Distributed Storage Codes With Repair-by-Transfer and Nonachievability of Interior Points on the Storage-Bandwidth Tradeoff." IEEE Transactions on Information Theory 58, no. 3 (March 2012): 1837–52. http://dx.doi.org/10.1109/tit.2011.2173792.

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Partala, Juha. "Semantically Secure Symmetric Encryption with Error Correction for Distributed Storage." Security and Communication Networks 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4321296.

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Abstract:
A distributed storage system (DSS) is a fundamental building block in many distributed applications. It applies linear network coding to achieve an optimal tradeoff between storage and repair bandwidth when node failures occur. Additively homomorphic encryption is compatible with linear network coding. The homomorphic property ensures that a linear combination of ciphertext messages decrypts to the same linear combination of the corresponding plaintext messages. In this paper, we construct a linearly homomorphic symmetric encryption scheme that is designed for a DSS. Our proposal provides simultaneous encryption and error correction by applying linear error correcting codes. We show its IND-CPA security for a limited number of messages based on binary Goppa codes and the following assumption: when dividing a scrambled generator matrix G^ into two parts G1^ and G2^, it is infeasible to distinguish G2^ from random and to find a statistical connection between G1^ and G2^. Our infeasibility assumptions are closely related to those underlying the McEliece public key cryptosystem but are considerably weaker. We believe that the proposed problem has independent cryptographic interest.
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Wang, Jingzhao, Yuan Luo, and Kenneth W. Shum. "Storage and repair bandwidth tradeoff for heterogeneous cluster distributed storage systems." Science China Information Sciences 63, no. 2 (January 15, 2020). http://dx.doi.org/10.1007/s11432-019-9937-7.

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Wang, Jingzhao, Tinghan Wang, and Yuan Luo. "Storage and repair bandwidth tradeoff for distributed storage systems with clusters and separate nodes." Science China Information Sciences 61, no. 10 (August 20, 2018). http://dx.doi.org/10.1007/s11432-018-9499-0.

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Conference papers on the topic "Storage-Repair Bandwidth Tradeoff"

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Sasidharan, Birenjith, Kaushik Senthoor, and P. Vijay Kumar. "An improved outer bound on the storage-repair-bandwidth tradeoff of exact-repair regenerating codes." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6875270.

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Senthoor, Kaushik, Birenjith Sasidharan, and P. Vijay Kumar. "Improved layered regenerating codes characterizing the exact-repair storage-repair bandwidth tradeoff for certain parameter sets." In 2015 IEEE Information Theory Workshop (ITW). IEEE, 2015. http://dx.doi.org/10.1109/itw.2015.7133121.

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Sasidaran, Birenjith, and P. Vijay Kumar. "On the interior points of the storage-repair bandwidth tradeoff of regenerating codes." In 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2013. http://dx.doi.org/10.1109/allerton.2013.6736605.

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4

Lee, Hyuk, and Jungwoo Lee. "An outer bound on the storage-bandwidth tradeoff of exact-repair cooperative regenerating codes." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541262.

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5

Hyuk Lee and Jungwoo Lee. "An outer bound on the storage-bandwidth tradeoff of exact-repair regenerating codes and its asymptotic optimality in high rates." In 2016 IEEE Information Theory Workshop (ITW). IEEE, 2016. http://dx.doi.org/10.1109/itw.2016.7606835.

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