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Abstract:
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The development of the Internet has been characterized by emergence of applications with high requirements for quality. These applications create real-time traffic aggregates with time varying statistical characteristics. In Multi-Protocol Label Switching (MPLS) network this type of traffic is assigned constant amount of resources. As MPLS lacks of traffic conditioning functions this may result in ineffective usage of resources when the load is lower than expected or inappropriate performance when the load is higher. In the thesis it was proposed a new algorithm for dynamic resource adaptation to temporarily changing traffic conditions. Assuming that network nodes may reallocate resources ondemand using automatic bandwidth adjustment capability of MPLS framework, the proposed algorithm, implemented at ingress MPLS nodes, dynamically decides which amount of resources is currently sufficient to handle arriving traffic with given performance metrics. This decision is then communicated to interior MPLS nodes along the label switched path for further resource allocation. As a basic tool of the algorithm it is used change-point statistical test that signals time instants at which statistical characteristics of traffic aggregates change. The major advantage of the proposed approach is that it is fully autonomous, that is, network nodes do not need any support from hosts in terms of explicit resource reservation requests. The proposed algorithm is well-suited for traffic patterns experiencing high variability, especially, for non-stationary type of traffic whose statistics change in time. |