Analysis of network behavior characteristic and influence factor based on the peak traffic

作者：Zhou Ai Ping^*; Cheng Guang

来源：Journal on Communications, 2012, 33(10): 117-125.

DOI：10.3969/j.issn.1000-436X.2012.10.015

• Analysis of covariances
• Burstiness
• Campus network
• Capacity planning
• Intrinsic features
• Link bandwidth
• Mutually independents
• Network behaviors
• Network operations
• Network traffic
• Network users
• Planning models
• Regression model

Based on the burstiness of network traffic, the peak traffic metric was introduced, and the method which was used to evaluate network operation and plan capacity was proposed. The network intrinsic features and the peak traffic for the 21 CERNET campus networks were analyzed by statistical methodologies (analysis of variance and analysis of covariance), so that the peak traffic is mutually independent and follows Gaussian distribution, the network intrinsic features have dominant impact on the peak traffic, and the number of network users is highly related to link bandwidth demand. On the basis, the li-near regression model and capacity planning model were constructed. Experimental results illustrate that the proposed capac-ity planning model is used to evaluate the access bandwidth of new campus networks exactly.

• 出版日期2012
• 单位东南大学