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Identification of P2P traffic is very useful for many network management tasks such as application-specific traffic engineering, network planning and monitoring. However, this is a challenging issue because many P2P applications use dynamic port numbers, and deriving signatures that can be used for reliable detection manually is time consuming and difficult. In this paper, we propose a novel approach...
Due to the complicated and ever-changing characteristics of Internet, network traffic prediction is a very complex and difficult issue in the network management and design. This paper shows a model with a new algorithm (MLSL), which updates the model parameters and improves the adaptive ability of the model. Generating self-similar series to simulate the network traffic and do some test, the experimental...
Network traffic anomaly detection is a difficult problem in network management. This paper presents a wavelet generalized likelihood ratio (WGLR) algorithm and an error performance detection (EPD) algorithm to solve this problem. WGLR algorithm combines generalized likelihood ratio (GLR) algorithm and wavelet transform method, and captures the failure point in real time. Error performance detection...
Network traffic anomaly detection is a difficult problem in network management. This paper presents a wavelet generalized likelihood ratio (WGLR) algorithm and an error performance detection (EPD) algorithm to solve this problem. WGLR algorithm combines generalized likelihood ratio (GLR) algorithm and wavelet transform method, and captures the failure point in real time. Error performance detection...
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