A Policy-based Approach for Reconfiguration Management and Enforcement in Autonomic Communication Systems

Authors:
Jie Chen;Zhenzhen Zhao;Di Qu;Ping Zhang
Affiliations:
Beijing University of Posts and Telecommunications (BUPT), Beijing, China 100876;Beijing University of Posts and Telecommunications (BUPT), Beijing, China 100876;China Telecommunication Technology Labs, Beijing, China;Beijing University of Posts and Telecommunications (BUPT), Beijing, China 100876
Venue:
Wireless Personal Communications: An International Journal
Year:
2008

Citing 8
Cited 1

Technical Note: \cal Q-Learning

Machine Learning
Neural network design

Neural network design
Dynamic Conflict Detection in Policy-Based Management Systems

EDOC '02 Proceedings of the 6th International Enterprise Distributed Object Computing Conference
A Goal-based Approach to Policy Refinement

POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Policy-Based Mobile Ad Hoc Network Management

POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Rate Performance Objectives of Multihop Wireless Networks

IEEE Transactions on Mobile Computing
Reinforcement learning: a survey

Journal of Artificial Intelligence Research
An automated policy-based management framework for differentiated communication systems

IEEE Journal on Selected Areas in Communications

Q-learning Reward Propagation Method for Reducing the Transmission Power of Sensor Nodes in Wireless Sensor Networks

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an overview of the policy-based reconfiguration management and enforcement for autonomic communication system platform (Pre-meacs). In contrast to existing management approaches, which require static priori policy configurations, policies are created dynamically. The proposed Pre-meacs framework creates new policies at runtime in response to the changing requirements. A hierarchical policy model is used to refine users and administrators' high-level goals into low-level objectives. The new approach ensures the success of the reconfiguration through monitoring feedback. The main components of Pre-meacs framework for policy creation, storage, evaluation and enforcement are presented, and the procedures of Pre-meacs in networks reconfiguration management are also demonstrated. Illustrative example demonstrates the performance of the proposed framework.