Forecasting Error Tolerable Resource Allocation in Budget-Based QoS Management for All-IP Core Network

• Main Authors: Yi-Min Chen, 陳逸民
• Other Authors: Yao-Nan Lien
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/49351646296655582811

碩士 === 國立政治大學 === 資訊科學學系 === 92 === Because of great progress of communication and computer technology, aggressive deployment of broadband fiber optical network, advance of Internet technology, and the global standardization of IP technology, the telecommunication industry is moving toward a converged network, which uses a single global IP based packet-switching network to carry all types of network traffics. In these types of network traffics, different traffic types require corresponding service to ensure end- to-end quality. For carrying all types of network traffics on All-IP network, BBQ (Budget-Based QoS) research group propose a QoS system architecture to provide end-to-end QoS guarantee. In this thesis, basing on BBQ QoS system, we propose resource pre-planning mechanism to management core network. According to demand forecast from historical data and considering pre-planning cost, pre-planning mechanism will find optimal policy to reduce management cost. In order to compensate the potential resource waste due to forecasting error, several resource allocation approach are proposed. Central Pool approach reserves resource in central pool and allocates it to those Ingress Routers who need. Overbook approach is similar to overbooking in airline booking system. It over-commits resource to Ingress Routers to improve resource utilization. In the end of this thesis, we simulate the two resource allocation approach and evaluate the performance through experiments under different circumstances. According to those evaluation, system provider can easily choose the proper allocation approach in different environments.