Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Improving the performance of time-constrained workflow processing
Journal of Systems and Software
A hybrid search algorithm with heuristics for resource allocation problem
Information Sciences: an International Journal
Design and control of workflow processes: business process management for the service industry
Design and control of workflow processes: business process management for the service industry
Soundness of resource-constrained workflow nets
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Virtual Resources Allocation for Workflow-Based Applications Distribution on a Cloud Infrastructure
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Joint Elastic Cloud and Virtual Network Framework for Application Performance-cost Optimization
Journal of Grid Computing
On optimizing workflows using query processing techniques
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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A resource allocation method is proposed to determine the proper number of resources added to each resource class with cost constraint in order to optimize workflow time performance. The average throughput time of workflow instances is used to measure the workflow time performance. An approach which calculates the average throughput time of workflow instances is proposed. An improved genetic algorithm is presented to realize the allocation method. Experimental results show that the algorithm has good evolution performance and is superior to other allocation methods.