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Authors: Anderson Francisco Talon 1 and Edmundo Roberto Mauro Madeira 2

Affiliations: 1 University of Campinas (UNICAMP) and Faculty FGP (FGP), Brazil ; 2 University of Campinas (UNICAMP), Brazil

Keyword(s): Fuzzy Monitoring, Self-Adaptive Monitoring, pro-Active Monitoring, Web-Service Monitoring, e-Contract Violation.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Scheduling and Planning

Abstract: The rise of web services have become increasingly more visible. Monitoring these services ensures Quality of Service and it is the basis for verifying and potentially predicting e-contract violations. This paper proposes a fuzzy scheduling mechanism that attempts to predict a possible e-contract violation based on historical data of the provider’s services. Consequently, there is a self-configuration on the architecture that changes service priority, making the provider processes the high priority services before low priority services. This prediction can also helps the self-optimization of the architecture. A decrease of e-contract violations can be observed. Though it is not always possible to predict a failure, the architecture is capable of self-healing by using recovery actions. Comparing the fuzzy scheduling with others known in the literature, an improvement of 31.52% in the e-contracts accomplishment is observed, and a decrease of 35.59% in average response time was achieved. Furthermore, by using the fuzzy scheduling, the overload of the provider was better balanced, varying at most 8.43%, while the variation in other scheduling mechanisms reached 41.15%. The results show that the fuzzy scheduling mechanism is promising. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Talon, A. and Madeira, E. (2017). A Fuzzy Scheduling Mechanism for a Self-Adaptive Web Services Architecture. In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-247-9; ISSN 2184-4992, SciTePress, pages 529-536. DOI: 10.5220/0006321705290536

@conference{iceis17,
author={Anderson Francisco Talon. and Edmundo Roberto Mauro Madeira.},
title={A Fuzzy Scheduling Mechanism for a Self-Adaptive Web Services Architecture},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2017},
pages={529-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006321705290536},
isbn={978-989-758-247-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Fuzzy Scheduling Mechanism for a Self-Adaptive Web Services Architecture
SN - 978-989-758-247-9
IS - 2184-4992
AU - Talon, A.
AU - Madeira, E.
PY - 2017
SP - 529
EP - 536
DO - 10.5220/0006321705290536
PB - SciTePress