Comparison and Improvement for Delay Analysis Approaches: Theoretical Models and Experimental Tests

TL;DR

This paper develops and tests a theoretical delay analysis model for computer networks, comparing it with real-world measurements to improve accuracy in predicting network performance.

Contribution

It introduces a practical analytical model for network delay estimation and validates it through experimental tests, enhancing the precision of delay boundary calculations.

Findings

The model accurately estimates network delay in real environments.

Experimental results align closely with theoretical predictions after correction.

The approach improves the reliability of network performance evaluation.

Abstract

Computer network tends to be subjected to the proliferation of mobile demands and increasingly multifarious, therefore it poses a great challenge to guarantee the quality of network service. By designing the model according to different requirements, we may get some related indicators such as delay and packet loss rate in order to evaluate the quality of network service and verify the user data surface and capacity of the network environment. In this paper, we describe an analytical model based on the measurement for the delay of each packet passing through the single existing routers in the network environment. In previous studies, the emulation of real network service behaviors was generally under ideal condition. In our work, the test environment is built to get the relevant test results of the actual network, and the corresponding theoretical results are obtained by our model. The test results are compared with the theoretical results, analyzed and corrected, in order to verify the feasibility of our analysis model for the performance analysis of the actual network. With this concern, calculation results are modified with different schemes to realize more precise calculation of delay boundary with the comparison with the experimental test results. The results show the analysis methods after the amendment can realistically estimate the performance of network element.