Title :
Simplifying Network Management with Fuzzy Logic
Author :
Sohail, Shaleeza ; Khanum, Aasia
Author_Institution :
Dept. of Comput. Eng., NUST, Rawalpindi
Abstract :
This paper advocates the use of machine learning for complex network management tasks. Specifically, this paper describes a novel idea of using fuzzy logic for effective network management, as the use of imprecise and linguistic information for intelligent decision making, can reduce the overhead of extensive network measurements for management purpose. It also describes the distinguishing features of network management that makes fuzzy logic suitable to be used in this field. Among a huge number of possible applications of this idea in broad area of network management, this paper briefly discusses few options that we are planning to explore further. In addition, it discusses one such option in detail.
Keywords :
IP networks; computer network management; decision making; fuzzy logic; learning (artificial intelligence); telecommunication computing; IP network; fuzzy logic; intelligent decision making; machine learning; network management; Computer network management; Decision making; Engineering management; Fuzzy logic; IP networks; Intelligent networks; Machine learning; Machine learning algorithms; Resource management; Telecommunication traffic;
Conference_Titel :
Communications Workshops, 2008. ICC Workshops '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2052-0
Electronic_ISBN :
978-1-4244-2052-0
DOI :
10.1109/ICCW.2008.42