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A Knowledge-based Approach for Self-healing Service-oriented Applications

Angarita Arocha, Rafaël; Rukoz, Marta; Manouvrier, Maude; Cardinale, Yudith (2016), A Knowledge-based Approach for Self-healing Service-oriented Applications, in Chbeir, Richard; Agrawal, Rajeev; Biskri, Ismail, MEDES 16 - Proceedings of the 8th International Conference on Management of Digital EcoSystems, ACM Press : New York, p. 1-8. 10.1145/3012071.3012100

Type
Communication / Conférence
Date
2016
Conference title
8th International Conference on Management of Digital EcoSystems (MEDES 16)
Conference date
2016-11
Conference city
Biarritz
Conference country
France
Book title
MEDES 16 - Proceedings of the 8th International Conference on Management of Digital EcoSystems
Book author
Chbeir, Richard; Agrawal, Rajeev; Biskri, Ismail
Publisher
ACM Press
Published in
New York
ISBN
978-1-4503-4267-4
Number of pages
236
Pages
1-8
Publication identifier
10.1145/3012071.3012100
Metadata
Show full item record
Author(s)
Angarita Arocha, Rafaël
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Rukoz, Marta
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Manouvrier, Maude cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Cardinale, Yudith cc
Universidad Simon Bolivar [USB]
Abstract (EN)
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.
Subjects / Keywords
Service Agents; Rules; Composite service execution

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  • Thumbnail
    An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications 
    Angarita Arocha, Rafaël; Manouvrier, Maude; Rukoz, Marta (2016) Communication / Conférence
  • Thumbnail
    A Self-adaptive Agent-based System for Cloud Platforms 
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  • Thumbnail
    FACETA*: Checkpointing for Transactional Composite Web Service Execution based on Petri-Nets 
    Cardinale, Yudith; Angarita Arocha, Rafaël; Rukoz, Marta (2012) Article accepté pour publication ou publié
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    Angarita Arocha, Rafaël; Manouvrier, Maude; Rukoz, Marta (2015) Communication / Conférence
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    Modeling dynamic recovery strategy for composite web services execution 
    Angarita Arocha, Rafaël; Rukoz, Marta; Cardinale, Yudith (2016) Article accepté pour publication ou publié
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