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The DeltaGrid Service Composition and Recovery Model

The DeltaGrid Service Composition and Recovery Model

Yang Xiao, Susan D. Urban
Copyright: © 2009 |Volume: 6 |Issue: 3 |Pages: 32
ISSN: 1545-7362|EISSN: 1546-5004|ISSN: 1545-7362|EISBN13: 9781616920357|EISSN: 1546-5004|DOI: 10.4018/jwsr.2009070103
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MLA

Xiao, Yang, and Susan D. Urban. "The DeltaGrid Service Composition and Recovery Model." IJWSR vol.6, no.3 2009: pp.35-66. http://doi.org/10.4018/jwsr.2009070103

APA

Xiao, Y. & Urban, S. D. (2009). The DeltaGrid Service Composition and Recovery Model. International Journal of Web Services Research (IJWSR), 6(3), 35-66. http://doi.org/10.4018/jwsr.2009070103

Chicago

Xiao, Yang, and Susan D. Urban. "The DeltaGrid Service Composition and Recovery Model," International Journal of Web Services Research (IJWSR) 6, no.3: 35-66. http://doi.org/10.4018/jwsr.2009070103

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Abstract

This research has defined an abstract execution model for establishing user-defined correctness and recovery in a service composition environment. The service composition model defines a flexible, hierarchical service composition structure, where a service is composed of atomic and/or composite groups. The model provides multi-level protection against service execution failure by using compensation and contingency at different composition granularity levels, thus maximizing the potential for forward recovery of a process when failure occurs. The recovery procedures also include rollback as a recovery option, where incremental data changes known as deltas are extracted from service executions and externalized by streaming data changes to a Process History Capture System. Deltas can then be used to backward recover an operation through a process known as Delta-Enabled Rollback. This article defines the semantics of the service composition model and the manner in which compensation, contingency, and Delta-Enabled-rollback are used together to recover process execution. The authors also present a case study and describe a simulation and evaluation framework for demonstrating the functionality of the recovery algorithm and for evaluating the performance of the recovery command generation process.

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