A Local Search Algorithm for Clustering in Software as a Service Networks

Jelmer van der Gaast, Niels Rietveld, Adriana Gabor and Yingqian Zhang

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: In this paper we present and analyze a model for clustering in networks that offer Software as a Service (SaaS). In this problem, organizations requesting a set of applications have to be assigned to clusters such that the costs of opening clusters and installing the necessary applications in clusters are minimized. We prove that this problem is NP-hard, and model it as an Integer Program with symmetry breaking constraints. We then propose a Tabu search heuristic for situations where good solutions are desired in a short computation time. Extensive computational experiments are conducted for evaluating the quality of the solutions obtained by the IP model and the Tabu Search heuristic. Experimental results indicate that the proposed Tabu Search is promising.

Keywords: Tabu Search; complexity theory; integer programming; software as a service (search for similar items in EconPapers)
JEL-codes: M M13 O32 (search for similar items in EconPapers)
Date: 2011-03-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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