Constraint-based runtime prediction of SLA violations in service orchestrations (extended abstract)

Ivanovic, Dragan and Carro Liñares, Manuel and Hermenegildo, Manuel V. (2012). Constraint-based runtime prediction of SLA violations in service orchestrations (extended abstract). In: "XII Jornadas sobre Programación y Lenguajes (PROLE 2012)", 17-19 Sep 2012, Almería. ISBN 978-84-15487-27-2. pp. 195-196.

Description

Title: Constraint-based runtime prediction of SLA violations in service orchestrations (extended abstract)
Author/s:
  • Ivanovic, Dragan
  • Carro Liñares, Manuel
  • Hermenegildo, Manuel V.
Item Type: Presentation at Congress or Conference (Article)
Event Title: XII Jornadas sobre Programación y Lenguajes (PROLE 2012)
Event Dates: 17-19 Sep 2012
Event Location: Almería
Title of Book: Actas XII Jornadas sobre Programación y Lenguajes (PROLE 2012)
Date: 2012
ISBN: 978-84-15487-27-2
Volume: 1
Subjects:
Freetext Keywords: Service Orchestrations; Quality of Service; Service Level Agreements; Monitoring; Prediction; Constraints
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Quality of Service (QoS) attributes, such as execution time, availability, or cost, are critical for the usability of Web services. This in particular applies to service compositions, which are commonly used for implementing more complex, higher level, and/or cross-organizational tasks by assembling loosely-coupled individual service components (often provided and controlled by third parties). The QoS attributes of service compositions depend on the QoS attributes of the service components, as well as on environmental factors and the actual data being handled, and are usually regulated by means of Service-Level Agreements (SLAs), which define the permissible boundaries for the values of the related properties. Predicting whether an SLA will be violated for a given executing instance of a service composition is therefore very important. Such a prediction can be used for preventing or mitigating the consequences of SLA violations ahead of time.

More information

Item ID: 52876
DC Identifier: http://oa.upm.es/52876/
OAI Identifier: oai:oa.upm.es:52876
Official URL: http://repositorio.ual.es/handle/10835/1763
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 30 Oct 2018 10:40
Last Modified: 30 Oct 2018 10:40
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