Staying alive — Network coding for data persistence in volatile networks
Name
Medard_Staying alive.pdf
Size
307.34 KB
Format
Adobe PDF
Checksum (MD5)
c3e6b2b799983cfc101d45c856aeef5f
Author(s) •
Abdrashitov, Vitaly
Medard, Muriel
Date Issued
March 2017
Journal
2016 50th Asilomar Conference on Signals, Systems and Computers
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Abdrashitov, Vitaly, and Muriel Médard. "Staying Alive — Network Coding for Data Persistence in Volatile Networks." 2016 50th Asilomar Conference on Signals, Systems and Computers, 6-9 November, 2016, Pacific Grove, California, IEEE, 2016, pp. 746–49.
Version
Author's final manuscript
Abstract
In volatile network environments, node connectivity and availability changes rapidly. This poses a challenge to efficient repair of failed nodes in distributed storage with erasure-correcting code. The commonly considered bandwidth-efficient data regenerating schemes either rely on availability of specific storage nodes in the network, or require a substantial number of repair nodes. We propose a RLNC storage scheme, which can operate well with highly changing network connectivity, and allows data decoding even after many failures and repairs. We demonstrate its substantial performance gain over the existing regenerating schemes.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ACSSC.2016.7869145