Department of Quantitative Health Sciences
Computer Communication Networks; Computer Systems
Biostatistics | Computer Engineering | Epidemiology | Health Services Research
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.
Rights and Permissions
Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI of Published Version
Rajani S. Sadasivam, Ravikumar Goli, Rajesh Kathiru, et al., “A Service-Based Entropic Model for Sensors Orchestration,” International Journal of Distributed Sensor Networks, vol. 5, no. 3, pp. 224-241, 2009. doi:10.1080/15501320701585576. Link to article on publisher's website
International Journal of Distributed Sensor Networks
Sadasivam, Rajani S.; Goli, Ravikumar; Kathiru, Rajesh; Krishnan, Adisesh; Thompson, Stanley; Tuncer, Yalcin; and Tanik, Murat M., "A Service-Based Entropic Model for Sensors Orchestration" (2009). Quantitative Health Sciences Publications and Presentations. 854.