The Vision of Autonomic Computing
Computer
Trends in the development of communication networks: Cognitive networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Monitoring Java based SOA applications
Proceedings of the 13th International Conference on Computer Systems and Technologies
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
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In order to ensure stable and reliable network operations communication network and service providers have to intelligently manage their budgets. To support this task there is a need for automated network management. Such management includes self-configuration, self-optimization, self-healing, and self-protection making the networks more robust but also reducing the cost of their maintenance and support. In the paper we describe implementation aspects of the programmable management system that exhibits the self-* properties. Our approach will be demonstrated on self-healing use case in Long Term Evolution (LTE) networks. The development is carried out by the partners of the Celtic project COMMUNE. The underlying hypothesis for the carried work is that a key reason for the undeveloped state of cognitive self-x functionality in real operational environment is uncertainty. The classical approach, which does not address uncertainty, has been successfully applied to networks of limited scale, but it is not appropriate for the management of complex networks like LTE and the Future Internet.