Well‐Balanced Designs for Data Placement. Issue 2 (5th November 2015)

• Record Type: Journal Article
• Authors: Bermond, Jean‐Claude; Jean‐Marie, Alain; Mazauric, Dorian; Yu, Joseph
• Is Part Of: Journal of combinatorial designs. Volume 24:Issue 2(2016:Feb.)
• Page Start: 55
• Page End: 76
• Publication Date: 2015-11-05
• Subjects: designs -- Steiner systems -- data placement -- disjoint Steiner triple systems; Combinatorial designs and configurations -- Periodicals; Configurations et schémas combinatoires -- Périodiques; 511.6
• DOI: 10.1002/jcd.21506
• Languages: English
• ISSNs: 1063-8539

Abstract

Abstract: The problem we consider in this article is motivated by data placement, in particular data replication in distributed storage and retrieval systems. We are given a set V of v servers along with b files (data, documents). Each file is replicated on exactly k servers. A placement consists in finding a family of b subsets of V (representing the files) called blocks, each of size k . Each server has some probability to fail and we want to find a placement that minimizes the variance of the number of available files. It was conjectured that there always exists an optimal placement (with variance better than any other placement for any value of the probability of failure). We show that the conjecture is true, if there exists a well‐balanced design—that is, a family of blocks—each of size k, such that each j ‐element subset of V, 1 ≤ j ≤ k, belongs to the same or almost the same number of blocks (difference at most one). The existence of well‐balanced designs is a difficult problem as it contains, as a subproblem, the existence of Steiner systems. We completely solve the case k = 2 and give bounds and constructions for k = 3 and some values of v and b .