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Charalambides, M.; Flegkas, P.; Pavlou, G.; Rubio-Loyola, J.; Bandara, A. K.; Lupu, E. C.; Russo, A.; Sloman, M. and Dulay, N.
(2006).
DOI: https://doi.org/10.1109/NOMS.2006.1687560
Abstract
Policy-based dynamic resource management may involve interaction between independent decision-making components which can lead to conflicts. For example, conflicts can occur between the policies for allocating resources and those setting quotas for users or classes of service. These policy conflicts cannot be detected by static analysis of the policies at specification-time as the conflicts arise from the current state of the resources within the system and so can only be detected at run-time. In this paper we use policies related to quality of service (QoS) provisioning for configuring differentiated services (DiffServ) networks to illustrate techniques for the dynamic detection and resolution of conflicts. Configuration includes implementing network provisioning decisions, performing admission control, and adapting bandwidth allocation dynamically according to emerging traffic demands. We identify possible conflicts between policies that manage the allocation of resources, and we also investigate conflicts that may arise between these policies and higher-level directives refined at the dynamic resource management level, acting as constraints. The paper shows how event calculus can be used to detect conflicts, focusing on the ones that emerge at run-time, and provides an approach for specifying policies to automate conflict resolution. The latter is demonstrated through our initial implementation of a dynamic conflict analysis tool
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About
- Item ORO ID
- 18488
- Item Type
- Conference or Workshop Item
- Keywords
- admission control; bandwidth allocation; computer network management; conflict detection; conflict resolution; differentiated services networks; DiffServ networks; DiffServ quality of service management; dynamic conflict analysis; dynamic policy analysis; event calculus; network provisioning; policy-based dynamic resource management; Policy-based resource management; QoS; quality of service; telecommunication congestion control;
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Depositing User
- Arosha Bandara