Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
A Model for Moldable Supercomputer Jobs
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Experimental Analysis of the Root Causes of Performance Evaluation Results: A Backfilling Case Study
IEEE Transactions on Parallel and Distributed Systems
Peer-to-Peer Data Preservation through Storage Auctions
IEEE Transactions on Parallel and Distributed Systems
Guidelines for Scheduling Some Common Computation-Dags for Internet-Based Computing
IEEE Transactions on Computers
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
Resource bartering in data grids
Scientific Programming
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Advances in computer technology and network technology provide a chance that multiple distributed computational resources can be shared by Internet to solve large-scale computing problems. In this paper, we focus on computational resources, and present an incentive sharing approach for this kind of resources in the autonomous environment. Firstly, we describe the sharing scenario, in which the barter auction mechanism is adopted and the deed is used to keep the trace of trades between different resource control domains. Then we discuss the evaluation methodology for testing the proposed approach. Thirdly, the auction schema is described, and the calling strategy and the responding strategy of auction are introduced. The simulation is performed based on the synthetic workloads to evaluate the performance of the auction strategies, and experimental results indicate that the barter auction method can allow computational resource domains to provide better computing service to their users.