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A Framework for Policy Driven Auto-adaptive Systems Using Dynamic Framed Aspects

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Transactions on Aspect-Oriented Software Development II

Part of the book series: Lecture Notes in Computer Science ((TAOSD,volume 4242))

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Abstract

This paper describes and evaluates a framework that allows adaptive behaviour to be applied to systems by using a combination of dynamic Aspect-Oriented Programming (AOP), parameterisation and policies. Our approach allows the operator to create policies to define adaptive behaviour based on Event-Condition-Action rules. The combination of dynamic AOP with parameterisation aids reuse and allows aspects to be generated to suit the current system conditions; these aspects can then be woven at run time to adapt the application behaviour. This approach is evaluated in two ways; firstly performance measurements are presented to show that such behaviour does not add a substantial overhead to the target system. Secondly, Aspect-Oriented software metrics are applied to the adaptations applied to illustrate their reusability and flexibility.

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Authors and Affiliations

  1. Computing Department, Lancaster University, InfoLab21, South Drive, Lancaster, LA1 4WA, UK

    Phil Greenwood & Lynne Blair

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  1. Phil Greenwood
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  2. Lynne Blair
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Editors and Affiliations

  1. Computing Department, Lancaster University, InfoLab 21, South Drive, LA1 4WA, Lancaster, UK

    Awais Rashid

  2. University of Twente, P.O. Box 217, 7500, Enschede, AE, The Netherlands

    Mehmet Aksit

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Greenwood, P., Blair, L. (2006). A Framework for Policy Driven Auto-adaptive Systems Using Dynamic Framed Aspects. In: Rashid, A., Aksit, M. (eds) Transactions on Aspect-Oriented Software Development II. Lecture Notes in Computer Science, vol 4242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11922827_2

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  • DOI: https://doi.org/10.1007/11922827_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48890-3

  • Online ISBN: 978-3-540-48891-0

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