A Framework for Policy Driven Auto-Adaptive Systems using Dynamic Framed Aspects.

Blair, Lynne and Greenwood, Phil (2006) A Framework for Policy Driven Auto-Adaptive Systems using Dynamic Framed Aspects. In: Transactions on Aspect-Oriented Software Development II. Lecture Notes in Computer Science . Springer, Berlin, pp. 30-65. ISBN 978-3-540-48890-3

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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.

Item Type: Contribution in Book/Report/Proceedings
Additional Information: This paper describes work that pulls together significant technologies (dynamic aspect-oriented programming, frame technologies, policies, and reflection) to provide a comprehensive framework for auto-adaptive systems. In addition to the framework itself, what is critical is that the paper contains a thorough and detailed evaluation, providing guidance not only for developers of dynamically adaptable systems, but also any developer using dynamic AOP. The results go a long way to dispelling the myth that dynamic aspects are synonymous with a high performance overhead. This work was published in the leading outlet for AOSD research where the acceptance rate for regular papers is only 10%. RAE_import_type : Journal article RAE_uoa_type : Computer Science and Informatics
Uncontrolled Keywords: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 2489
Deposited By: ep_importer
Deposited On: 13 Jun 2008 16:00
Refereed?: Yes
Published?: Published
Last Modified: 22 Jan 2020 05:46
URI: https://eprints.lancs.ac.uk/id/eprint/2489

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