A Case for Economy Grid Architecture for Service-Oriented Grid Computing
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Metrics for Parallel Job Scheduling and Their Convergence
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Compute Power Market: Towards a Market-Oriented Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Creating Services with Hard Guarantees from Cycle-Harvesting Systems
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
A Study of Deadline Scheduling for Client-Server Systems on the Computational Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
GridIS: An Incentive-Based Grid Scheduling
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
A Price-Based Task Scheduling for Grid Computing
ICN '08 Proceedings of the Seventh International Conference on Networking
A Broker-Based Approach to Resource Discovery and Selection in Grid Environments
ICCEE '08 Proceedings of the 2008 International Conference on Computer and Electrical Engineering
Ant Colony Algorithm for Job Scheduling in Grid Computing
AMS '10 Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
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Economic scheduling needs to be considered for grid computing environment, because it gives an incentive for resource providers to supply their resources. Moreover, it enforces efficient use of resources, because the users have to pay for their use. Tendering is a suitable model for grid scheduling because users start the negotiations for finding suitable resources for executing their jobs. Furthermore, the users specify their job requirements with their requests and therefore the resources reply with bids that are based on the cost of taking on the job and the availability of their processors. In this paper, a number of entity strategies are proposed and their performances are evaluated. The entities such as users, brokers and resources employ tender/contract-net model to negotiate the prices and deadlines. The broker's role is acting on behalf of users. During the negotiations, the entities aim to maximise their performance which is measured by a number of metrics.