NDLI: Design and Evaluation of an Autonomic Workflow Engine

Content Provider	IEEE Xplore Digital Library
Author	Heinis, T. Pautasso, C. Alonso, G.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Swiss Fed. Inst. of Technol., Zurich (Heinis, T.; Pautasso, C.; Alonso, G.)
Abstract	In this paper we present the design and evaluate the performance of an autonomic workflow execution engine. Although there exist many distributed workflow engines, in practice, it remains a difficult problem to deploy such systems in an optimal configuration. Furthermore, when facing an unpredictable workload with high variability, manual reconfiguration is not an option. Thanks to its autonomic controller, the engine features self-configuration, self-tuning and self-healing properties. The engine runs on a cluster of computers using a tuple space to coordinate its various components. Its autonomic controller monitors its performance and responds to workload variations by altering the configuration. In case failures occur, the controller can recover the workflow execution state from persistent storage and migrate it to a different node of the cluster. Such interventions are carried out without any human supervision. As part of the results of our performance evaluation, we compare different autonomic control strategies and discuss how they can automatically tune the system
Sponsorship	IEEE Comput. Soc. Nat. Sci. Found
Starting Page	27
Ending Page	38
File Size	199153
Page Count	12
File Format	PDF
ISBN	0796522769
DOI	10.1109/ICAC.2005.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Engines Scalability Automatic control Distributed computing Computer science Computer displays Humans Control systems Workflow management software Automation
Content Type	Text
Resource Type	Article

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