Towards data-aware cost-driven adaptation for service orchestrations.

Ivanovic, Dragan and Carro Liñares, Manuel and Hermenegildo, Manuel V. and López García, Pedro and Mera, E. (2010). Towards data-aware cost-driven adaptation for service orchestrations.. Monografía (Technical Report). Facultad de Informática (UPM), Madrid, Spain.

Description

Title: Towards data-aware cost-driven adaptation for service orchestrations.
Author/s:
  • Ivanovic, Dragan
  • Carro Liñares, Manuel
  • Hermenegildo, Manuel V.
  • López García, Pedro
  • Mera, E.
Item Type: Monograph (Technical Report)
Date: March 2010
Subjects:
Freetext Keywords: Service orchestrations, Resource analysis, Data-awareness, Monitoring, Adaptation, servicio instrumentado, Análisis de recursos, Adaptación.
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[thumbnail of HERME_TCREP_ANDMANS_2010-5.pdf]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

Several activities in service oriented computing, such as automatic composition, monitoring, and adaptation, can benefit from knowing properties of a given service composition before executing them. Among these properties we will focus on those related to execution cost and resource usage, in a wide sense, as they can be linked to QoS characteristics. In order to attain more accuracy, we formulate execution costs / resource usage as functions on input data (or appropriate abstractions thereof) and show how these functions can be used to make better, more informed decisions when performing composition, adaptation, and proactive monitoring. We present an approach to, on one hand, synthesizing these functions in an automatic fashion from the definition of the different orchestrations taking part in a system and, on the other hand, to effectively using them to reduce the overall costs of non-trivial service-based systems featuring sensitivity to data and possibility of failure. We validate our approach by means of simulations of scenarios needing runtime selection of services and adaptation due to service failure. A number of rebinding strategies, including the use of cost functions, are compared.

More information

Item ID: 14692
DC Identifier: https://oa.upm.es/14692/
OAI Identifier: oai:oa.upm.es:14692
Official URL: http://clip.dia.fi.upm.es/papers/ivanovic09-cost-a...
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 24 Mar 2013 09:20
Last Modified: 27 Feb 2023 11:24
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM