Notice of Violation of IEEE Publication Principles: Automation of network management with artificial intelligence concepts

Notice of Violation of IEEE Publication Principles
BR>"Automation of Network Management with Artificial Intelligence Concepts"
by Zafar Jafarov
in the Proceedings of the 5th International Conference on Application of Information and Communication Technologies (AICT), October 2011

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Automation of Network Management with Multidisciplinary Concepts"
by Shaleeza Sohail
in the International Journal of Computer Technology and Applications, Vol 1, Issue 1, December 2010, pp. 71-77


In today's growing and ever changing world of computer networks, management systems need to have the abilities of intellectual reasoning, dynamic real time decision making, experience based self-adaptation and improvement. Furthermore, ever increasing size and complexity of computer networks require automation for their management systems. Automation minimizes human involvement which produces effective and time saving solutions for proper and dynamic supervision of these large and heterogeneous networks. In the light of above discussion, the design of an efficient, dynamic and automated network management framework requires support from the field of artificial intelligence. As the techniques based on the principles of artificial intelligence provide sophisticated abilities of intelligent decision making, experience based improvement and creative problem solving. This paper provides a survey of some important multidisciplinary research efforts that propose the use of modern techniques from the fields of Distributed Artificial Intelligence and Neural Networks for improving network management.