research-article

A knowledge-based approach for self-healing service-oriented applications

Authors:

Rafael Angarita,

Maude Manouvrier,

Yudith CardinaleAuthors Info & Claims

MEDES: Proceedings of the 8th International Conference on Management of Digital EcoSystems

Pages 1 - 8

https://doi.org/10.1145/3012071.3012100

Published: 01 November 2016 Publication History

Abstract

In the context of service-oriented applications, the self-healing property provides reliable execution in order to support failures and assist automatic recovery techniques. This paper presents a knowledge-based approach for self-healing Composite Service (CS) applications. A CS is an application composed by a set of services interacting each other and invoked on the Web. Our approach is supported by Service Agents, which are in charge of the CS fault-tolerance execution control, making decisions about the selection of recovery and proactive strategies. Service Agents decisions are based on the information they have about the whole application, about themselves, and about what it is expected and what it is really happening at run-time. Hence, application knowledge for decision making comprises off-line precomputed global and local information, user QoS preferences, and propagated actual run-time information. Our approach is evaluated experimentally using a case study.

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Cited By

Goumopoulos C(2024)Smart City Middleware: A Survey and a Conceptual FrameworkIEEE Access10.1109/ACCESS.2023.334937612(4015-4047)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3349376
Mukwevho MCelik T(2021)Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud SystemsIEEE Transactions on Services Computing10.1109/TSC.2018.281664414:2(589-605)Online publication date: 1-Mar-2021
https://doi.org/10.1109/TSC.2018.2816644
Filisbino Passini WAparecida Lana CPfeifer VAffonso F(2021)Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysisSoftware: Practice and Experience10.1002/spe.301352:1(5-38)Online publication date: 30-Jun-2021
https://doi.org/10.1002/spe.3013
Show More Cited By

Index Terms

A knowledge-based approach for self-healing service-oriented applications
1. Information systems
  1. World Wide Web
    1. Web searching and information discovery

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Published In

cover image ACM Other conferences

MEDES: Proceedings of the 8th International Conference on Management of Digital EcoSystems

November 2016

243 pages

ISBN:9781450342674

DOI:10.1145/3012071

General Chair:
Richard Chbeir,
Program Chairs:
Rajeev Agrawal,
Ismail Biskri

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2016

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MEDES'16

MEDES'16: The 8th International Conference on ManagEment of Digital EcoSystems

November 1 - 4, 2016

Biarritz, France

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Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Goumopoulos C(2024)Smart City Middleware: A Survey and a Conceptual FrameworkIEEE Access10.1109/ACCESS.2023.334937612(4015-4047)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2023.3349376
Mukwevho MCelik T(2021)Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud SystemsIEEE Transactions on Services Computing10.1109/TSC.2018.281664414:2(589-605)Online publication date: 1-Mar-2021
https://doi.org/10.1109/TSC.2018.2816644
Filisbino Passini WAparecida Lana CPfeifer VAffonso F(2021)Design of frameworks for self‐adaptive service‐oriented applications: A systematic analysisSoftware: Practice and Experience10.1002/spe.301352:1(5-38)Online publication date: 30-Jun-2021
https://doi.org/10.1002/spe.3013
Affonso FPassini WNakagawa E(2019)A Reference Architecture to support the development of mobile applications based on self-adaptive servicesPervasive and Mobile Computing10.1016/j.pmcj.2019.01.00153(33-48)Online publication date: Feb-2019
https://doi.org/10.1016/j.pmcj.2019.01.001
Soltane MCardinale YAngarita RRosse PRukoz MMakhlouf DOkba K(2018)A Self-adaptive Agent-based System for Cloud Platforms2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS.2018.8598507(1-8)Online publication date: Oct-2018
https://doi.org/10.1109/PAIS.2018.8598507
Cardinale YEl Haddad JManouvrier MRukoz M(2017)Fuzzy ACID properties for self‐adaptive composite cloud services executionConcurrency and Computation: Practice and Experience10.1002/cpe.436031:2Online publication date: 22-Nov-2017
https://doi.org/10.1002/cpe.4360

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