Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Wireless Personal Communications: An International Journal
A model-based approach for self-adaptive Transport protocols
Computer Communications
Achieving Self-management in a Distributed System of Autonomic BUT Social Entities
MACE '08 Proceedings of the 3rd IEEE international workshop on Modelling Autonomic Communications Environments
Towards automating overlay network management
Journal of Network and Computer Applications
Architecture and signaling protocol for migration to cognitive reconfigurable post-3G mobile systems
ACM SIGMOBILE Mobile Computing and Communications Review
A policy-based framework for autonomic reconfiguration management in heterogeneous networks
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
Multi-agent Reinforcement Learning in Network Management
AIMS '09 Proceedings of the 3rd International Conference on Autonomous Infrastructure, Management and Security: Scalability of Networks and Services
Towards policy-supported adaptable service systems
EUNICE'07 Proceedings of the 13th open European summer school and IFIP TC6.6 conference on Dependable and adaptable networks and services
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
A novel approach towards autonomic management in context-aware communication systems
MATA'05 Proceedings of the Second international conference on Mobility Aware Technologies and Applications
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This paper presents a novel paradigm to approach the issue of autonomous policy-based management of wired/wireless differentiated communication systems. In contrast to existing management approaches which require static a priori policy configurations, policies are created dynamically. The proposed framework addresses the management issue from a new perspective through posing it as a problem of learning from current system behavior, while creating new policies at runtime in response to changing requirements. A hierarchical policy model is used to capture users and administrators' higher level goals into network level objectives. Given sets of network objectives and constraints, policies are assembled at runtime. The new approach gives more flexibility to users and applications to dynamically change their quality-of-service (QoS) requirements while maintaining a smooth delivery of QoS through network monitors feedback. Simulation results demonstrate the performance of the proposed work.