G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
Design and Evaluation of a Resource Selection Framework for Grid Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Market-based Proportional Resource Sharing for Clusters
Market-based Proportional Resource Sharing for Clusters
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A distributed backup agent based on grid computing architecture
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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Grid computing architecture was defined to be a complete physical layer. The functions of information systems based on grid architecture are resources sharing, collaborative processing, etc. However, each resource of collaborated grid nodes changes dynamically, how to make these resources optimize plan and allocation is an important issue. In this paper, we proposed a dynamic analyzing resources model based on grid computing architecture. This model can make the plans and allocations of the resources of collaborated nodes optimize. Via the experiment of this model, we can have that the resource allocations are more efficient.