In response to the great progress of communications and computer technologies, 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 services. Diverse types of services demand diverse QoS requirements making it a great challenge to support potential services with guaranteed QoS on All-IP networks.
Our research group proposes a Budget-Based QoS (BBQ) management architecture to facilitate network operators of diversified networks. With BBQ management architecture, network operators can adjust their network architectures and management polities to support as many services as possible with end-to-end QoS guarantee. In this thesis, based on BBQ QoS architecture, we propose a hybrid resource planning methodology which integrates centralized and distributed resource planning mechanism. We proposes a methodology to help network operators plan their network resources based on the demand forecast extracted from historical data. This methodology will allow edge routers of a core network to determine the best amount of bandwidth to acquire. In addition, we also propose several solutions to avoid resource shortage at run-time.
Through intensive evaluation in network simulator-2(ns2), we demonstrate that our resource pre-planning can minimize resource cost and is tolerable to some forecasting error.
Furthermore, to reduce the possibility of resource shortage with minimum resource reservation overhead during run time, we propose a run-time resource management scheme, which can help to determine the best in-hand resource level during run-time execution.