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Distributed Resource Allocation: Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services

Distributed Resource Allocation: Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services

Kamal Moummadi, Rachida Abidar, Hicham Medromi
Copyright: © 2012 |Volume: 4 |Issue: 2 |Pages: 14
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781466613508|DOI: 10.4018/jmcmc.2012040104
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MLA

Moummadi, Kamal, et al. "Distributed Resource Allocation: Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services." IJMCMC vol.4, no.2 2012: pp.49-62. http://doi.org/10.4018/jmcmc.2012040104

APA

Moummadi, K., Abidar, R., & Medromi, H. (2012). Distributed Resource Allocation: Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 4(2), 49-62. http://doi.org/10.4018/jmcmc.2012040104

Chicago

Moummadi, Kamal, Rachida Abidar, and Hicham Medromi. "Distributed Resource Allocation: Generic Model and Solution Based on Constraint Programming and Multi-Agent System for Machine to Machine Services," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 4, no.2: 49-62. http://doi.org/10.4018/jmcmc.2012040104

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Abstract

The growth of technological capabilities of mobile devices, the evolution of wireless communication technologies, and the maturity of embedded systems contributed to expand the Machine to machine (M2M) concept. M2M refers to data communication between machines without human intervention. The objective of this paper is to present the grand schemes of a model to be used in an agricultural Decision support System. The authors start by explaining and justifying the need for a hybrid system that uses both Multi-Agent System (MAS) and Constraint Programming (CP) paradigms. Then, the authors propose an approach for Constraint Programming and Multi-Agent System mixing based on controller agent concept. The authors present concrete constraints and agents to be used in a distributed architecture based on the proposed approach for M2M services and agricultural decision support. The platform is built in Java using general interfaces of both MAS and Constraint Satisfaction Problem (CSP) platforms and the conception is made by agent UML (AUML).

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