On a Class of Multi-Source Distributed Storage With Exact Repair
Author(s) -
Congduan Li,
Zhiheng Zhou,
Xiangping Zhai
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2825324
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In future communication networks, say 5G networks and Internet of Things, users may need to obtain messages from multiple available sources in a distributed manner, which requires distributed storage in the network. One essential issue in distributed storage is how to repair a failed storage node. In conventional distributed storage model with exact repair, source files are stored in many nodes in a distributed manner and the contents of a failed node are exactly recovered by the surviving nodes. Further, all files can be reconstructed when a decoder has access to a certain number of storage nodes. So, the underlying reconstruction network is equivalent to a single-source multicast problem. This paper considers a variant of the exact repair problem, where the underlying reconstruction network is the independent distributed source coding system, a type of multi-source multicast problem. As the first non-trivial case with two sources and three encoders, the storage-repair tradeoff regions are proved for all the 33 non-isomorphic instances, and it is shown that binary codes are optimal.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom