Davy, Steven and Jennings, Brendan and Strassner, John (2008) Efficient policy conflict analysis for autonomic network management. In: Proceedings of the 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2008 :. Proceedings of the 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems, EASe 2008 . UNSPECIFIED, IRL, pp. 16-24. ISBN 0769531407
Full text not available from this repository. (Request a copy)Abstract
Autonomic network management strives to reduce the complexity associated to managing large scale communications networks. Policy based management is a critical facilitator for this vision and more importantly policy conflict analysis processes must be efficient and scalable to cope with the dynamicity and size of such communications networks. We present an efficient policy selection process for policy conflict analysis that maintains a history of previous policy comparisons in a tree based data structure to reduce the number comparisons required in subsequent iterations. The ability to incorporate historical information into the selection process stems from the two phase approach we take in our conflict analysis algorithm. The first phase of the algorithm initialises a relationship pattern matrix between a candidate policy and a deployed policy, the second phase matches this pattern against a conflict signature. Previous solutions compare candidate policies against all deployed policies sequentially, however our approach can reuse the patterns already discovered from previous iterations of the algorithm to reduce the number of comparisons. Experimental results presented here show that significant performance improvements can be made using this approach, however the degree of this improvement is dependent on the nature of the relationships between deployed policies.
Item Type: | Book Section |
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Uncontrolled Keywords: | /dk/atira/pure/subjectarea/asjc/1700 |
Departments or Groups: | |
Depositing User: | Admin SSL |
Date Deposited: | 19 Oct 2022 23:17 |
Last Modified: | 26 Jun 2023 19:50 |
URI: | http://repository-testing.wit.ie/id/eprint/5119 |
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