A mobile agent platform based on tuple space coordination
Advances in Engineering Software
GRID '02 Proceedings of the Third International Workshop on Grid Computing
On Quality of Service Optimization with Discrete QoS Options
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
Scalable Resource Allocation for Multi-Processor QoS Optimization
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Apply agent to build grid service management
Journal of Network and Computer Applications
Competitive proportional resource allocation policy for computational grid
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
The use of economic agents under price driven mechanism in grid resource management
Journal of Systems Architecture: the EUROMICRO Journal
Integrated Resource Management and Scheduling with Multi-Resource Constraints
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
A Cross-Layer Optimization Framework for Multicast in Multi-hop Wireless Networks
WICON '05 Proceedings of the First International Conference on Wireless Internet
End-to-end quality of service for high-end applications
Computer Communications
Agent framework to support the computational grid
Journal of Systems and Software
IEEE Journal on Selected Areas in Communications
Price-Oriented Trading Optimization for Grid Resource
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
The multi-dimensional qos resources optimization based on the grid banking model
HPCA'09 Proceedings of the Second international conference on High Performance Computing and Applications
A flexible layered control policy for resource allocation in a sensor grid
Journal of Parallel and Distributed Computing
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This paper presents a cross-layer quality of service (QoS) optimization policy for computational grid. Efficient QoS management is critical for computational grid to meet heterogeneity and dynamics of resources and users' requirements. There are different QoS metrics at different layers of computational grid. To improve perceived QoS by end users over computational grid, QoS supports can be addressed in different layers, including application layer, collective layer, fabric layer and so forth. The paper tackles cross-layer grid QoS optimization as optimization decomposition, each layer corresponds to a decomposed subproblem. The proposed policy produces an optimal set of grid resources, service compositions and user's payments at the fabric layer, collective layer and application layer respectively to maximize global grid QoS. The cross-layer optimization problem decomposes into three subproblems: grid resource allocation problem, service composing and user satisfaction degree maximization problem, all of which interact through the optimal variables for capacities of grid resources and service demand. In order to coordinate the subproblems, cross-layer QoS feedback mechanism is established to ensure different layer interactions. The simulations are conducted to validate the efficiency of the proposed policy.