Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
A vector space model for automatic indexing
Communications of the ACM
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Data mining for hypertext: a tutorial survey
ACM SIGKDD Explorations Newsletter
Journal of Computer and System Sciences
Performance and cost optimization for multiple large-scale grid workflow applications
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Dynamic self-scheduling for parallel applications with task dependencies
Proceedings of the 6th international workshop on Middleware for grid computing
Resource use pattern analysis for opportunistic grids
Proceedings of the 6th international workshop on Middleware for grid computing
Future Generation Computer Systems
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Cloud computing is a new trend after grids. Many market-based resource management strategies are been brought out to implement resource scheduling in cloud computing environment. More and more consumers rely on cloud providers to supply computing service, so economic effectiveness become crucial decisive factor for scheduling policy. In this paper we designed an economic scheduling model with business parameters. And a dynamic scheduling algorithm was presented, which made a trade-off between economic effectiveness and performance. Based on the model and algorithm, we brought out market-oriented workflow management architecture for cloud, in which QoS based resource allocation mechanism was introduced to meet different consumers' demands and improve scheduling efficiency.