Grid resource management
Grid resource negotiation: survey with a machine learning perspective
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
A multicriteria approach to two-level hierarchy scheduling in grids
Journal of Scheduling
Grid service provider: how to improve flexibility of grid user interfaces?
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
A matrix scheduling strategy with multi-qos constraints in computational grid
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Cooperative grid jobs scheduling with multi-objective genetic algorithm
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
A multi-criteria job scheduling framework for large computing farms
Journal of Computer and System Sciences
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Scientific and other grand challenge applications are a driving force for developing computing infrastructure of the future. Their constantly increasing computational power requirements often cannot be met by available systems [1]. Such a situation has led to the emergence of new platform called "Computational Grid" [2]. It seems very important to identify common and reusable components that are needed and can be used in a computational grid by different applications. Such components could be the Grid information services, security mechanisms, resource management, large data set management etc. This paper sketches the issues of one of the most important components of the grid - the resource management and scheduling component. We will present our work on multiobjective resource management system. The novelty of the approach lays in its multiobjective nature. We present the Multi-Criteria Resource Broker (MC-Broker), whose scheduling mechanisms are driven by the user preferences regarding various scheduling criteria, such as computation time and cost, communication time between distributed processes, level of load balancing and others.