Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Competitive proportional resource allocation policy for computational grid
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
Integrated Resource Management and Scheduling with Multi-Resource Constraints
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
An approach for quality of service adaptation in service-oriented Grids: Research Articles
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International Journal of High Performance Computing Applications
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WICON '05 Proceedings of the First International Conference on Wireless Internet
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Utility-based QoS optimisation strategy for multi-criteria scheduling on the grid
Journal of Parallel and Distributed Computing
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CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
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Negotiation Model Supporting Co-Allocation for Grid Scheduling
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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Computer Communications
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Journal of Systems and Software
IEEE Journal on Selected Areas in Communications
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The main contribution of this article is to propose a two-layer optimisation policy for improvement of application performance and resource utilisation in grid environments. We exploit the coupling of application layer and fabric layer of grid architecture for resource scheduling in grid computing environment. The objectives of the individual grid applications at the application layer, and individual grid resources at the fabric layer are likely to be in conflict. Interplay of application layer and fabric layer strives to find an optimal balance between application performance and resource utilisation. The two-layer optimisation model attempts to maximise the aggregate grid user utilities and revenues of resource provider. The article uses the Lagrangian method that leads to a decomposition of the utility maximisation problem into two smaller subproblems, each of which may be solved independently. This article presents a two-layer optimisation grid scheduling algorithm. The simulation studies show how the performance of two-layer optimisation algorithm is affected by the change of different environment parameters.