Software adaptation patterns for service-oriented architectures

  • Authors:
  • Hassan Gomaa;Koji Hashimoto;Minseong Kim;Sam Malek;Daniel A. Menascé

  • Affiliations:
  • George Mason University, Fairfax, VA;George Mason University, Fairfax, VA;George Mason University, Fairfax, VA;George Mason University, Fairfax, VA;George Mason University, Fairfax, VA

  • Venue:
  • Proceedings of the 2010 ACM Symposium on Applied Computing
  • Year:
  • 2010

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Abstract

This paper describes the concept of software adaptation patterns and how they can be used in software adaptation of service-oriented architectures. The patterns are described in terms of a three-layer architecture for self-management. A software adaptation pattern defines how a set of components that make up an architecture pattern dynamically cooperate to change the software configuration to a new configuration. In our approach, adaptation connectors are introduced to encapsulate adaptation state machine models so that the adaptation patterns can be more reusable. A change management model for dynamically evolving service-oriented applications is also described with a case study.