2016/04/02 by Muhammad Saleh Shah, Shah, Muhammad Saleh, Asim Imdad Wagan +3
Business, Management and Accounting · Computer Science · #Advanced Queuing Theory Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Traffic and Congestion Control #Networking and Internet Architecture (cs.NI) #Wireless Communication Networks Research #cs.LG #cs.NI
paper · pdf · doi:10.48550/arxiv.1604.00557
8 pages, Mehran University Research Journal of Engineering and Technology, Vol 33, No.1, January 2014
arxiv created 2016/04/02 · openalex publication_date 2016/04/02 · arxiv updated 2016/04/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recent years have seen an increasing interest in the design of AQM (Active Queue Management) controllers. The purpose of these controllers is to manage the network congestion under varying loads, link delays and bandwidth. In this paper, a new AQM controller is proposed which is trained by using the SVM (Support Vector Machine) with the RBF (Radial Basis Function) kernal. The proposed controller is called the support vector based AQM (SAM) controller. The performance of the proposed controller has been compared with three conventional AQM controllers, namely the Random Early Detection, Blue and Proportional Plus Integral Controller. The preliminary simulation studies show that the performance of the proposed controller is comparable to the conventional controllers. However, the proposed controller is more efficient in controlling the queue size than the conventional controllers.