Fractional Repetition Codes for Repair in Distributed Storage Systems

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We introduce a new class of exact Minimum-Bandwidth Regenerating (MBR) codes for distributed storage systems, characterized by a low-complexity uncoded repair process that can tolerate multiple node failures. These codes consist of the concatenation of two components: an outer MDS code followed by an inner repetition code. We refer to the inner code as a Fractional Repetition code since it consists of splitting the data of each node into several packets and storing multiple replicas of each on different nodes in the system. Our model for repair is table-based, and thus, differs from the random access model adopted in the literature. We present constructions of Fractional Repetition codes based on regular graphs and Steiner systems for a large set of system parameters. The resulting codes are guaranteed to achieve the storage capacity for random access repair. The considered model motivates a new definition of capacity for distributed storage systems, that we call Fractional Repetition capacity. We provide upper bounds on this capacity while a precise expression remains an open problem.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Fractional Repetition Codes for Repair in Distributed Storage Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Fractional Repetition Codes for Repair in Distributed Storage Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fractional Repetition Codes for Repair in Distributed Storage Systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-226083

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.