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Optimal k-Bounded Placement of Resources in Distributed Computing Systems

Jong-Hoon KIM, Cheol-Hoon LEE

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Summary :

We consider the problem of placing resources in a distributed computing system so that certain performance requirements may be met while minimizing the number of resource copies needed. Resources include special I/O processors, expensive peripheral devices, or such software modules as compilers, library routines, and data files. Due to the delay in accessing each of these resources, system performance degrades as the distance between each processor and its nearest resource copy increases. Thus, every processor must be within a given distance k1 of at least one resource copy, which is called the k-bounded placement problem. The structure of a distributed computing system is represented by a graph. The k-bounded placement problem is first transformed into the problem of finding smallest k-dominating sets in a graph. Searching for smallest k-dominating sets is formulated as a state-space search problem. We derive heuristic information to speed up the search, which is then used to solve the problem with the well-known A* algorithm. An illustrative example and some experimental results are presented to demonstrate the effectiveness of the heuristic search.

Publication
IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1480-1487
Publication Date
2000/07/25
Publicized
Online ISSN
DOI
Type of Manuscript
PAPER
Category
Theory/Models of Computation

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