Maximising Personal Utility Using Intelligent Strategy in Minority Game
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
Existence of Risk Strategy Equilibrium in Games Having No Pure Strategy Nash Equilibrium
Agent Computing and Multi-Agent Systems
Individual agent's wealth in minority games
International Journal of Autonomous and Adaptive Communications Systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Game-theoretic analysis of decentralized core allocation schemes on many-core systems
Proceedings of the Conference on Design, Automation and Test in Europe
Fair energy resource allocation by minority game algorithm for smart buildings
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
Agent-based distributed power management for kilo-core processors
Proceedings of the International Conference on Computer-Aided Design
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In a computer system, different agents need different resources to complete their tasks. The objective of resource allocation is to allocate the resources to the agents so that they can complete their tasks and at the same time make good utilization of resources. In this paper, we model the resource allocation problem as a Minority Game. In this way, the system has the advantages of a distributed system but with reduced overhead. Also, this approach is autonomous and adaptive. We design an adaptive strategy for agents to play in the game model. We perform simulations of a singlechoice model, a multi-choice model in which agents have (and do not have) preferences over the resources. Simulations show that agents with the proposed adaptive strategy are able to make more right decisions and better resource utilization than previous work.