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Authors: Touraj Laleh ; Joey Paquet ; Serguei Mokhov and Yuhong Yan

Affiliation: Concordia University, Canada

ISBN: 978-989-758-243-1

Keyword(s): Web Service Composition, Service Constraints, Service Failure Recovery.

Abstract: A large number of web service composition methods have been proposed. Most of them are based on the matching of input/output and QoS parameters. However, most services in the real world have conditions or restrictions that are imposed by their providers. These condition should be met to ensure the correct execution of the service. Therefore, constraint-aware service composition methods are proposed to take care of constraints both at composition and execution time. Failure to meet constraints inside a composite plan results in the failure of execution of the whole composite service. Recovery from such failures implies service usage rollback as an alternate plan is found to continue the execution to completion. In this paper, a constraint-aware failure recovery approach is proposed to predict failures inside a composite service. Then, a method is proposed to do failure recovery based on those predictions and minimize the number of service rollbacks. The proposed solution includes an AI -planning-based algorithm and a novel constraint processing method for service failure prediction and recovery. A publicly available test set generator is used to evaluate and analyze the proposed solution. (More)

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Paper citation in several formats:
Laleh T., Paquet J., Mokhov S. and Yan Y. (2017). Predictive Failure Recovery in Constraint-aware Web Service Composition.In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 241-252. DOI: 10.5220/0006313802410252

@conference{closer17,
author={Touraj Laleh and Joey Paquet and Serguei Mokhov and Yuhong Yan},
title={Predictive Failure Recovery in Constraint-aware Web Service Composition},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={241-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006313802410252},
isbn={978-989-758-243-1},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Predictive Failure Recovery in Constraint-aware Web Service Composition
SN - 978-989-758-243-1
AU - Laleh T.
AU - Paquet J.
AU - Mokhov S.
AU - Yan Y.
PY - 2017
SP - 241
EP - 252
DO - 10.5220/0006313802410252

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