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Anycast service model and its QoS routing algorithm

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Abstract

In the Internet, a group of replicated servers is commonly used in order to improve the scalability of network service. Anycast service is a new network service that can improve network load distribution and simplify certain applications. In this paper, the authors described a simple anycast service model in the Internet without significant affecting the routing and protocol processing infrastructure that was already in place, and proposed an anycast QoS routing algorithm for this model. The algorithm used randomized method to balance network load and improve its performance. Several new techniques are proposed in the algorithm, first, theminimum hops for each node are used in the algorithm, which are used as metric for computing the probability of possible out-links. The metric is pre-computed for each node in the network, which can simplify the network complexity and provide the routing process with useful information. Second, randomness is used at the link level and depends dynamically on the routing configuration. This provides great flexibility for the routing process, prevents the routing process from overusing certain fixed routing paths, and adequately balances the delay of the routing path. the authors assess the quality of QoS algorithm in terms of the acceptance ratio on anycast QoS requests, and the simulation results on a variety of network topologies and on various parameters show that the algorithm has good performances and can balance network load effectively.

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Foundation item: The National Science Fund for Overseas Distinguished Young Scholars (No. 69928201), Foundation for University Key Teacher by the Ministry of Education and Changjiang Scholar Reward Project.

Biography of the first author: WANG Jian-xin, associate professor, doctoral student, born in 1969, majoring in routing algorithms, scheduling policies, and QoS issues in Internet and high-speed network.

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Wang, Jx., Chen, Sq. & Chen, Je. Anycast service model and its QoS routing algorithm. J Cent. South Univ. Technol. 8, 135–139 (2001). https://doi.org/10.1007/s11771-001-0041-4

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  • DOI: https://doi.org/10.1007/s11771-001-0041-4

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