Traffic Prediction and Resource Allocation: A Statistical Delay Bound Approach

摘要

The paper presents a predictive approach to network resource allocation techniques. The rationale of this work is to take advantage of measurements to estimate future traffic behavior by using linear, low-complexity and easy to implement prediction algorithms. The main contribution of the research is the derivation of a bandwidth allocation strategy, named SDB (Statistical Delay Bound), which guarantees a probabilistic bound on the delay experienced by packets traversing a network resource. In order to assess the effectiveness of the proposed technique, performance is compared to that obtained by running a known algorithm which selects the service capacity according to a target resource utilization value. Results show that, in spite of the simplicity of the adopted predictive algorithm, the proposed measurement based technique allows to fulfill the project requirements and candidates for actual experimentation into prototypal routers which support QoS mechanisms.