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A New Dynamic Bandwidth Provisioning Approach

M. Rajaei, S. Noferesti


In this paper we propose dynamic bandwidth provisioning method in differentiated services based on learning automata. The main goal of this method is to offer services that satisfy the Quality of services (QoS) requirements while guaranteeing at the same time an efficient utilization of network resources. In proposed method, the amount of bandwidth to provision for each per hop behavior adjusts at regular intervals based on environment feedback. We develop an efficient bandwidth allocation algorithm that takes the explicitly into account traffic statistics to increase the user's benefit and the network revenue. We demonstrate through simulations that the proposed dynamic provisioning model is superior to static provisioning in providing QoS and network revenue.


learning automata, dynamic provisioning, differentiated services, quality of services, service level agreement

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