학술논문

Node Repair on Connected Graphs
Document Type
Periodical
Author
Source
IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 68(5):3081-3095 May, 2022
Subject
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Maintenance engineering
Codes
Bandwidth
Complexity theory
Costs
Task analysis
Internet of Things
Distributed storage
Minimum Storage Regenerating (MSR) codes
graph-constrained storage systems
random graphs
Language
ISSN
0018-9448
1557-9654
Abstract
We study the problem of erasure correction (node repair) for regenerating codes defined on graphs wherein the cost of transmitting the information to the failed node depends on the graphical distance from this node to the helper vertices of the graph. The information passed to the failed node from the helpers traverses several vertices of the graph, and savings in communication complexity can be attained if the intermediate vertices process the information rather than simply relaying it toward the failed node. We derive simple information-theoretic bounds on the amount of information communicated between the nodes in the course of the repair. Next we show that Minimum Storage Regenerating (MSR) codes can be modified to perform the intermediate processing, thereby attaining the lower bound on the information exchange on the graph. We also consider node repair when the underlying graph is random, deriving conditions on the parameters that support recovery of the failed node with communication complexity smaller than required by the simple relaying.