可信可控网络中跨自治域的流合作测量模型

当前网络环境下提出的流测量算法缺少必要的合作，存在测量覆盖度不高等问题。为此，提出一种新的基于全网合作的流测量模型，在自治域(AS)间通过标识已测量流和共享测量结果的方式，实现AS间的流合作测量，在AS内利用控制节点为路由器统一分配测量任务的方法，实现AS内最大化流测量覆盖度的目标。实验结果表明，该模型能够有效利用网络资源，平衡各个路由器的测量负载，提高测量覆盖度，具有比以往方法更好的性能。

Cross autonomous system cooperative model for flow monitoring in trustworthy and controllable network

The flow measurement algorithms under current network environment are lack of cooperation, thus the coverage of monitored flow is low. To solve this problem, a new cooperative flow monitoring model based on trustworthy and controllable network was proposed. This model realized cross-AS (Autonomous System) cooperative flow monitoring by packet marking and result sharing, and optimized the flow monitoring coverage through distributing monitoring responsibility across routers by control node in each AS. The comparison with the previous work in an experiment verifies that this model makes the best use of network resource, balances the monitoring overhead of each router, and improves monitoring coverage, and also has better performance than previous methods.