Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A Sharing-Based Approach to Supporting Adaptation in Service Compositions.
Year:2012
Research Areas
  • Engineering
Information
Abstract
Data-related properties of the activities involved in a service composition can be used to facilitate several design-time and run-time adaptation tasks, such as service evolution, distributed enactment, and instance-level adaptation. A number of these properties can be expressed using a notion of sharing. We present an approach for automated inference of data properties based on sharing analysis, which is able to handle service compositions with complex control structures, involving loops and sub-workflows. The properties inferred can include data dependencies, information content, domain-defined attributes, privacy or confidentiality levels, among others. The analysis produces characterizations of the data and the activities in the composition in terms of minimal and maximal sharing, which can then be used to verify compliance of potential adaptation actions, or as supporting information in their generation. This sharing analysis approach can be used both at design time and at run time. In the latter case, the results of analysis can be refined using the composition traces (execution logs) at the point of execution, in order to support run-time adaptation.
International
Si
JCR
Si
Title
Computing
ISBN
0010-485X
Impact factor JCR
0,701
Impact info
Volume
10.1007/s00607-012-0230-z
Journal number
From page
1
To page
40
Month
NOVIEMBRE
Ranking
Participants
  • Autor: Dragan Ivanovic . (UPM)
  • Autor: Manuel Carro Liñares (UPM)
  • Autor: Manuel de Hermenegildo Salinas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Computación lógica, Lenguajes, Implementación y Paralelismo (CLIP)
  • Departamento: Inteligencia Artificial
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