ATM NETWORKS CONGESTION CONTROL OPTIMIZATION USING STOCHASTIC PROGRAMMING | ||||
| The International Conference on Mathematics and Engineering Physics | ||||
| Article 11, Volume 4, International Conference on Mathematics and Engineering Physics (ICMEP-4), May 2008, Page 1-10 PDF (253.02 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/icmep.2008.29889 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| OSAMA I. SHAARAWY; ELIWA M. ROSHDY; EL-SAYED E. SOROUR | ||||
| Abstract | ||||
| ABSTRACT. The Asynchronous Transfer Mode (ATM) is a major transport technology to support the Broadband Integrated Services Digital Networks (B-ISDN). It supports variety of network services such as World Wide Web, videoconference, e-commerce, network multimedia, traditional file transfer protocol (ftp), email, newsgroup and etc. Many network applications not only ask for high speed, broadband, but also require high quality of services (QoS). More and more research works are focused on ATM networks. A number of researchers have demonstrated the virtual path concept. The advantage of this concept is that it allows a large group of virtual circuits to be handled and switched together, resulting in a lower computing complexity, faster processing speed, and an efficient use of network resources. The ATM network provides multiple services, a significant amount of traffic flows have stochastic characteristics; that makes it difficult to solve congestion control problem. Stochastic programming (SP) is introduced to solve the essential problems of ATM network congestion control, Scenario Tracking (ST) approach of stochastic programming employed for ATM network optimization. Three optimization models: Capacity Assignment (CA), Capacity and Flow Assignment (CFA), and Flow Assignment (FA) are discussed; a proposed virtual path based CFA model is then simulated. | ||||
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