Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Journal of Parallel and Distributed Computing
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Grid-computing portals and security issues
Journal of Parallel and Distributed Computing - Scalable web services and architecture
A framework for adaptive execution in grids
Software—Practice & Experience
Improving resource utilisation in market oriented grid management and scheduling
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
Fine Grained Resource Reservation in Open Grid Economies
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
A secure information service for monitoring large scale grids
Parallel Computing
Performance of the Vickrey auction for digital goods under various bid distributions
Performance Evaluation
Model-based simulation and performance evaluation of grid scheduling strategies
Future Generation Computer Systems
An Universal Flexible Utility Function in Grid Economy
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
A Market Design for Grid Computing
INFORMS Journal on Computing
A framework for providing hard delay guarantees and user fairness in Grid computing
Future Generation Computer Systems
A minimized makespan scheduler with multiple factors for Grid computing systems
Expert Systems with Applications: An International Journal
A decentralized model for scheduling independent tasks in Federated Grids
Future Generation Computer Systems
Time and cost trade-off management for scheduling parallel applications on Utility Grids
Future Generation Computer Systems
Wireless Personal Communications: An International Journal
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A market-based computational grid is made up of large sets of heterogeneous and geographically distributed resources that are gathered into virtual organizations for executing consumer's applications. One of the most important challenges in market-based grid systems is the management of grid users, which is called resource providers and consumers. The existing methods provide some alternative mechanisms for this problem, but they are not fully adequate. To address this problem, we propose an enhanced approach for adjusting price of grid resource using new effective parameters of microeconomic issue and also for prioritizing current jobs in the queue. This proposed approach is integrated with a cooperative method among local schedulers to accept jobs based on auction model. The results conclude that the inclusion of new parameters in price-adjusting affects the payment budget and job submission behavior of the schedulers. The evaluations of experimental results prove a remarkable performance of the proposed approach in diverse conditions and job workloads.