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.
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