Anthony, Richard (2011) In search of synergies between policy-based systems management and economic models for autonomic computing. ACE '11: Proceedings of the 1st ACM/IEEE Workshop on Autonomic Computing in Economics. ACM, New York, NY, USA, p. 1. ISBN 978-1-4503-0734-5 (doi:10.1145/1998561.1998563)

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Abstract

Policy-based systems management (PBM) and economics-based systems management (EBM) are two of the many techniques available for implementing autonomic systems, each having specific benefits and limitations, and thus different applicability; choosing the most appropriate technique is
the first of many challenges faced by the developer. This talk begins with a critical discussion of the general design goals of autonomic systems and the main issues involved with their development and deployment. The discussion forms a backdrop for a detailed evaluation of the two techniques, in which the concepts underpinning each of PBM and EBM are reviewed and placed into context with each other as well as with the other popular techniques for autonomic computing. After considering the operation and suitability of the techniques in isolation, the focus shifts to look at how PBM and EBM could be combined in complementary ways to achieve more sophisticated and
versatile control systems whilst keeping the complexity and human-configuration input low. There is then some deeper explanation of the features of PBM and a specific technology is briefly presented as a case example, focusing on its novel and advanced features. The talk ends by looking
to the future of autonomic systems; identifying a possible next set of challenges and considering the roles that PBM and EBM may play in addressing these.

Item Type:	Book Section
Additional Information:	[1] Paper was a Keynote paper, but only the abstract has been published. [2] Paper presented at the 1st ACM/IEEE Workshop on Autonomic Computing in Economics, held 14 June 2011, Karlsruhe, Germany (alongside the 8th International Conference on Autonomic Computing, ICAC 2011).
Uncontrolled Keywords:	algorithms, management, performance, economics, human factors
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences
Related URLs:	Organisation Organisation
Last Modified:	14 Oct 2016 09:17
URI:	http://gala.gre.ac.uk/id/eprint/6650

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