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
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
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
End-to-end quality of service for high-end applications
Computer Communications
Agent framework to support the computational grid
Journal of Systems and Software
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Grid architecture is protocol architecture, with protocols defining the basic mechanisms by which virtual organization (VO) users and resources negotiate, establish, manage, and exploit sharing relationships. A standard based open architecture facilitates extensibility, interoperability, portability, and code sharing; standard protocols make it easy to define standard services that provide enhanced capabilities. Grid architecture organizes into layers. In the paper, a three-layer coordination of grid architecture is proposed. The aim is to optimize the end-to-end quality of the dynamic grid application as well as efficiently utilizing the grid resources. A joint coordination algorithm, which exploits the interlayer coupling of fabric layer, collective layer and application layer, is proposed. The algorithm aims to achieve a system-wide optimization based on the user's preferences. We formulate the integrated coordination of three layers into a constrained optimization problem. Utility functions are used to express grid user' preferences, resource provider's benefit function and system's objectives. The optimization framework provides a layered approach to the sum utility maximization problem. The advantage of the proposed joint three-layer coordination is demonstrated through simulations.