Grid resource management: state of the art and future trends
Grid resource management: state of the art and future trends
Ten actions when Grid scheduling: the user as a Grid scheduler
Grid resource management
A taxonomy of market-based resource management systems for utility-driven cluster computing
Software—Practice & Experience
Decentralized, adaptive resource allocation for sensor networks
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Towards self-organising agent-based resource allocation in a multi-server environment
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Adaptive load balancing: a study in multi-agent learning
Journal of Artificial Intelligence Research
Decentralized allocation of CPU computation power for web applications
Performance Evaluation
The analysis of service provider-user coordination for resource allocation in cloud computing
Information-Knowledge-Systems Management
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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.