Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-06-18
Computer Science
Distributed, Parallel, and Cluster Computing
Submitted to Dependable and Adaptive Distributed Systems Track, ACM SAC 2007
Scientific paper
We believe that to fully support adaptive distributed applications, middleware must itself be adaptable, adaptive and policy-free. In this paper we present a new language-independent adaptable and adaptive policy framework suitable for integration in a wide variety of middleware systems. This framework facilitates the construction of adaptive distributed applications. The framework addresses adaptability through its ability to represent a wide range of specific middleware policies. Adaptiveness is supported by a rich contextual model, through which an application programmer may control precisely how policies should be selected for any particular interaction with the middleware. A contextual pattern mechanism facilitates the succinct expression of both coarse- and fine-grain policy contexts. Policies may be specified and altered dynamically, and may themselves take account of dynamic conditions. The framework contains no hard-wired policies; instead, all policies can be configured.
Bigwood Greg
Dearle Alan
Kirby Graham
Macdonald Angus
Norcross Stuart
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