Reduction of network traffic for cloud based communication using novel linear regression algorithm comparing with logistic regression algorithm

The aim is to improve reduction of network traffic for cloud-based communication by analysing and predicting the network traffic using Novel linear and logistic regressions. Materials and Methods: The network traffic analysis of linear regression is compared with the analysis of logistic regression,...

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Bibliographic Details
Main Authors: Sandhya, N. Sai, Ashokkumar, S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Communications traffic
Network analysis
Regression
Traffic analysis
Online Access:Get full text
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Summary:The aim is to improve reduction of network traffic for cloud-based communication by analysing and predicting the network traffic using Novel linear and logistic regressions. Materials and Methods: The network traffic analysis of linear regression is compared with the analysis of logistic regression, using the accuracy of the trained model and the predicted values. Results: The linear regression has significantly higher accuracy than the logistic regression. The accuracy obtained in linear regression was 81% and 77% of accuracy for logistic regression. Sample size for group 1 is 65 and group 2 is 65.and the total sample size of the research work is 130. There is a statistically significant difference between Linear regression and Logistic regression with (p
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0203752