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Abstract
Naval research programs are focusing on a distributed architecture approach for successful migration of data from one region to another. This presents a challenging area of modeling and managing the distributed approaches. This article describes a service-based model, which comprises of two steps that are decomposition and orchestration, for effectively managing distributed cluster networks. The contribution of this paper is two-fold. First, the article describes in detail the information transfer and entropy based decomposition approach. Second, it demonstrates the effectiveness of the orchestration approach to address challenges in distributed clusters using a simulation. We have implemented the decomposition approach in both Java and Matlab for verification.
The Department of the Navy, Office of Naval Research, sponsored parts of this effort. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Office of Naval Research. Award number: N00014-03-1-0751. We thank Dr. Iyengar, who kindly provided us with a pre-print edition of his book for our research. We thank the Division of Continuing Medical Education for their support and contribution. During the processing of this paper, Drs. Tuncer, Tanik, and Allison have published an in depth review of the statistical methods used in this article in the Journal Computational Statistics and Data Analysis, vol. 52, pp. 2292–2310, 2008.