Title :
Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling system
Author :
Madureira, A. ; Cunha, B. ; Pereira, I.
Author_Institution :
GECAD Res. Group, Polytech. Inst. of Porto, Porto, Portugal
Abstract :
In this paper a Cooperation Mechanism for Distributed Scheduling based on Bees based Computing is proposed. Where multiple self-interested agents can reach agreement over the exchange of operations on cooperative resources. Agents must collaborate to improve their local solutions and the global schedule. The proposed cooperation mechanism is able to analyze the scheduling plan generated by the Resource Agents and refine it by idle times reducing taking advantage from cooperative and the self-organized behavior of Artificial Bee Colony technique. The computational study allows concluding about statistical evidence that the cooperation mechanism influences significantly the overall system performance.
Keywords :
ant colony optimisation; resource allocation; scheduling; statistical analysis; artificial bee colony; cooperation mechanism; distributed resource scheduling; of to; resource agents; self-interested agents; self-organized scheduling system; statistical evidence; Algorithm design and analysis; Job shop scheduling; Optimization; Processor scheduling; Sociology; Statistics; Artificial Bee Colony; Cooperation; Distributed Resource Scheduling; Self-Organization;
Conference_Titel :
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6626-4
DOI :
10.1109/CEC.2014.6900574