Method for evaluating overall performance of network based on multi-measure deviation maximization
A technology for maximizing deviation and evaluating methods, which is applied in data exchange networks, digital transmission systems, electrical components, etc., and can solve problems such as the inability to analyze and evaluate the overall performance of the network
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[0036] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0037] First, the evaluation method of the present invention obtains the environment required by the network performance evaluation matrix by means of network measurement. We use figure 1Take an autonomous system AS with 5 border routers on the right as an example. The measurement process in each border router of the AS (or each measurement host near the router) will measure several measurement indicators between them to other border routers every 5 minutes, such as: when IP packets are transmitted Latency, delay variation, error rate, packet loss rate, false rate, throughput and availability, etc., and arrange these measured values in a row according to the law on the left side of the matrix. If different networks are evaluated, multiple measurement indicators are required for each network participating in the evaluation. In this example, t...
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[0042] This example gives the image 3 The detailed process of performance evaluation for the three networks a, b and c shown. Network a adopts a star topology, and networks b and c adopt a mesh topology. The link bandwidths of networks a and b are both 100 Mbps, and the link bandwidth of network c is 200 Mbps. In the simulation test, the internal nodes adopt the packet loss strategy of RED, and the routing protocol adopts the dynamic routing strategy realized by the distributed Bellman-Ford method.
[0043] In the network measurement step, each border router in the network sends traffic to other border routers, and the traffic rate increases gradually. Specifically, the three networks are loaded with the same self-similar background traffic whose traffic intensity gradually increases, and the self-similar traffic consists of 100 Pareto traffic generators. Deploy performance measurement agents such as Ping and PathChirp around each border router in the network, so as to real...
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