A mobile agent platform based on tuple space coordination
Advances in Engineering Software
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Economic Scheduling in Grid Computing
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
On Quality of Service Optimization with Discrete QoS Options
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
Supporting QoS-Based Discovery in Service-Oriented Grids
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Scalable Resource Allocation for Multi-Processor QoS Optimization
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
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
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A Cross-Layer Optimization Framework for Multicast in Multi-hop Wireless Networks
WICON '05 Proceedings of the First International Conference on Wireless Internet
Journal of Computer and System Sciences
Algorithmic mechanism design for load balancing in distributed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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
A global optimization approach for three layers of computational grid stack
Advances in Engineering Software
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The paper presents optimization decomposition based layered Quality of Service (QoS) scheduling for computational grid. Cross layer joint QoS scheduling is studied by considering the global problem as decomposed into three sub-problems: resource allocation at the fabric layer, service composing at the collective layer, and user satisfaction degree at the application layer. The paper proposes a complete solution from optimization modeling, Lagrange relaxation based decomposition, to solutions for each sub-problem Lagrange relaxation based decomposition. These aspects match the vertical organization of the considered grid system: each layer trade with adjacent layers to find a global optimum of the whole grid system. Through multi-layer QoS joint optimization approach, grid global QoS optimization can be achieved. The cross layer 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 owner of each layer obtains inputs from other layers, tries to maximize its own utility and provides outputs back to other layers. This iterative process lasts until presumably all layers arrive at the same solution.