Access vs. Bandwidth in Codes for Storage
Itzhak Tamo, Zhiying Wang, Jehoshua Bruck

TL;DR
This paper investigates the limits of MDS codes in storage systems, focusing on the relationship between node capacity, code parameters, and optimal repair bandwidth or access, revealing that these measures are not always equivalent.
Contribution
It provides upper bounds for the maximum number of information disks in optimal bandwidth and access MDS codes with constant parity, highlighting differences between these two repair measures.
Findings
Derived upper bounds for general cases.
Established tight bounds for specific code families.
Showed that optimal bandwidth and access codes can differ in maximum size.
Abstract
Maximum distance separable (MDS) codes are widely used in storage systems to protect against disk (node) failures. A node is said to have capacity over some field , if it can store that amount of symbols of the field. An MDS code uses nodes of capacity to store information nodes. The MDS property guarantees the resiliency to any node failures. An \emph{optimal bandwidth} (resp. \emph{optimal access}) MDS code communicates (resp. accesses) the minimum amount of data during the repair process of a single failed node. It was shown that this amount equals a fraction of of data stored in each node. In previous optimal bandwidth constructions, scaled polynomially with in codes with asymptotic rate . Moreover, in constructions with a constant number of parities, i.e. rate approaches 1, is scaled exponentially w.r.t. . In…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
