Permanent link: http://hdl.handle.net/1959.3/52310
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- Title
- Decentralized co-allocation of interrelated resources in dynamic environments
- Author(s)
- Schlegel, Tino; Kowalczyk, Ryszard; Vo, Quoc Bao
- Abstract
- The vision of transparent, on-demand resource utilization in distributed and open environments requires resource management techniques that are robust, scalable and able to adapt to the dynamic environment. In this paper, we propose a decentralized resource allocation algorithm for the co-allocation of interrelated resources for repeated jobs in real-time. Resource broker agents autonomously allocate resources for the execution of jobs based on information from past allocations. The coordination between agents for an overall efficient resource allocation emerges through individual feedback that agents receive from the quality of previous resource allocation decisions. The coordination between agents is achieved without any communication. We present experimental results demonstrating that the proposed algorithm is able to adapt to the dynamic environment for an efficient utilisation of the system resources.
- Publication Type
- Conference paper
- Research Centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- Source
- Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, New South Wales, Australia, 09-12 December 2008 / Lakhmi Jain, Maria Gini, Boi B. Faltings, Takao Terano, Chengqi Zhang, Nick Cercone, Longbing Cao (eds.), Vol. 2, pp. 104-108
- Publication Year
- 2008
- FOR Code(s)
- 080199 Artificial Intelligence and Image Processing not elsewhere classified; 080599 Distributed Computing not elsewhere classified
- Keyword(s)
- Algorithms; Resources; Resource allocation
- Publisher
- IEEE
- Publisher URL
- http://dx.doi.org/10.1109/WIIAT.2008.297
- Copyright
- Copyright © 2008 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
- ISBN
- 9780769534961
- Full Text
- Peer Reviewed
