Title :
Economic-based modelling for resource scheduling in grid computing
Author :
Aburukba, Raafat ; Ghenniwa, Hamada ; Shen, Weiming
Author_Institution :
Electr. & Comput. Eng., Western Univ., London, ON, Canada
Abstract :
In decentralized computational environments applications or services belong to different organizations with different objectives. Grid computing model is appropriate for such environments, in particular for large scale computations. In this paper, decentralization is modeled in terms self-interested, economically inspired agents that attempt to achieve their goals. The objective of this work is to model the Grid scheduling problem based on the nature of the Grid environment and the characteristics of the Grid entities focusing on the resource utilization and completion time objectives. We create a mapping between the Grid scheduling problem and the combinatorial allocation problem and propose an adequate economic-based optimization model and a bidding language for the Grid scheduling problem. The proposed approach is being validated through a prototype implementation using the Coordinated Intelligent Rational Agent (CIR-Agent) model.
Keywords :
grid computing; multi-agent systems; optimisation; resource allocation; scheduling; bidding language; combinatorial allocation problem; completion time objective; coordinated intelligent rational agent model; decentralized computational environments application; economic-based modelling; economic-based optimization model; economically inspired agent; grid computing; grid scheduling problem; resource scheduling; resource utilization; self-interested agent; Agent oriented; Grid bidding language; Grid computing; decentralized scheduling; economic-based approach;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
DOI :
10.1109/CSCWD.2012.6221877