Allocating Modules to Processors in a Distributed System
IEEE Transactions on Software Engineering
Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Economic Scheduling in Grid Computing
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Compute Power Market: Towards a Market-Oriented Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Bulk synchronous parallel computing-a paradigm for transportable software
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Dynamic workload balancing of parallel applications with user-level scheduling on the Grid
Future Generation Computer Systems
A game-theoretic method of fair resource allocation for cloud computing services
The Journal of Supercomputing
Sequential Grid Computing: Models and Computational Experiments
INFORMS Journal on Computing
A survey of economic models in grid computing
Future Generation Computer Systems
Grid resource scheduling algorithm based on dynamic price-adjusting strategy
International Journal of Information and Communication Technology
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Sequential Grid Computing: Models and Computational Experiments
INFORMS Journal on Computing
Balanced Job Scheduling Based on Ant Algorithm for Grid Network
International Journal of Grid and High Performance Computing
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In the economic-based computational grids we need effective schedulers not only to minimize the makespan but also to minimize the costs that are spent for the execution of the jobs. In this work, a novel economy driven job scheduling heuristic is proposed and a simulation application is developed by using GridSim toolkit to investigate the performance of the heuristic. The simulation-based experiments demonstrate the effectiveness of the proposed heuristic both in terms of parameter sweep and sequential workflow type of applications.