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

Ivanovic, Dragan; Carro Liñares, Manuel; Hermenegildo, Manuel V.; López García, Pedro y Mera, E. (2010). Towards data-aware cost-driven adaptation for service orchestrations.. Monografía (Informe Técnico). Facultad de Informática (UPM) [antigua denominación], Madrid, Spain.

Descripción

Título: Towards data-aware cost-driven adaptation for service orchestrations.
Autor/es:
  • Ivanovic, Dragan
  • Carro Liñares, Manuel
  • Hermenegildo, Manuel V.
  • López García, Pedro
  • Mera, E.
Tipo de Documento: Monográfico (Informes, Documentos de trabajo, etc.) (Informe Técnico)
Fecha: Marzo 2010
Materias:
Palabras Clave Informales: Service orchestrations, Resource analysis, Data-awareness, Monitoring, Adaptation, servicio instrumentado, Análisis de recursos, Adaptación.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 14692
Identificador DC: http://oa.upm.es/14692/
Identificador OAI: oai:oa.upm.es:14692
URL Oficial: http://clip.dia.fi.upm.es/papers/ivanovic09-cost-adaptation-tr.pdf
Depositado por: Biblioteca Facultad de Informatica
Depositado el: 24 Mar 2013 09:20
Ultima Modificación: 21 Abr 2016 14:28
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