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On-line Access: 2014-06-06

Received: 2013-09-29

Revision Accepted: 2014-03-07

Crosschecked: 2014-05-04

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Journal of Zhejiang University SCIENCE C 2014 Vol.15 No.6 P.401-422


Comparison of selected algorithms for scheduling workflow applications with dynamically changing service availability

Author(s):  Pawe? Czarnul

Affiliation(s):  Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk 80-233, Poland

Corresponding email(s):   pczarnul@eti.pg.gda.pl, pczarnul@gmail.com

Key Words:  Dynamic scheduling of workflow applications, Workflow management environment, Scheduling algorithms

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Pawe? Czarnul. Comparison of selected algorithms for scheduling workflow applications with dynamically changing service availability[J]. Journal of Zhejiang University Science C, 2014, 15(6): 401-422.

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This paper compares the quality and execution times of several algorithms for scheduling service based workflow applications with changeable service availability and parameters. A workflow is defined as an acyclic directed graph with nodes corresponding to tasks and edges to dependencies between tasks. For each task, one out of several available services needs to be chosen and scheduled to minimize the workflow execution time and keep the cost of service within the budget. During the execution of a workflow, some services may become unavailable, new ones may appear, and costs and execution times may change with a certain probability. Rescheduling is needed to obtain a better schedule. A solution is proposed on how integer linear programming can be used to solve this problem to obtain optimal solutions for smaller problems or suboptimal solutions for larger ones. It is compared side-by-side with GAIN, divide-and-conquer, and genetic algorithms for various probabilities of service unavailability or change in service parameters. The algorithms are implemented and subsequently tested in a real BeesyCluster environment.




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