Currently, researchers study the traffic difference of various Internet applications, and analyze the impacts on network performance and quality of service, mainly through network measuring, to explore the unknown beh...
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ISBN:
(纸本)9780769537412
Currently, researchers study the traffic difference of various Internet applications, and analyze the impacts on network performance and quality of service, mainly through network measuring, to explore the unknown behaviors performed by this huge complex nonlinear system. Passive measurement can get the measurement data which most truly reflect network behavior, so it is widely used in the network measurement. However, in the high-speed network, it is difficult to measure, process, storage and analyze the measured massive data. Under the background of passive measurement for the large-scale high-speed network, this paper focuses on measurement, collation, storage and analysis of the massive data, which was closely related to the measurement and behavior analysis. This paper will design and implement a Trace Measurement and analysis System for the Multi-links CERNET Backbone (TMASM), and it would test TMASM using a JSERNET trace. In this paper, first, we design and implement TMASM, then discuss the features of the data captured by Watcher measurement subsystem. We study the strategy of processing the parallel links packet data collected from Jiangsu Province border multi-links of CERNET backbone. The Architecture of TMASM supports scalability in order to expand the analysis functions only through a simple approach. Finally, TMASM is tested, and a Trace collected from Jiangsu Province border channel of CERNET is analyzed using TMASM.
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