Performance Evaluation of Hierarchical SOAP Based Web Service in Load Balancing Cluster-Based and Non-Cluster-Based Web Server

Author:

Bezboruah Tulshi1ORCID,Bora Abhijit1ORCID

Affiliation:

1. Department of Electronics & Communication Technology, Gauhati University, Guwahati, India

Abstract

Evaluating the implementation techniques of web service and analysing their performance in load balancing cluster-based and non-cluster-based web server is necessary from the perspective of web service developer, researchers as well as users. As such the authors propose to develop and implement a SOAP based hierarchical web service using load balancing cluster-based and non-cluster based Apache Tomcat web server to study the web service performance metrics. The performance of overall system is tested using the load testing tool Mercury Load runner and a comparative investigation is carried out using the stability, load and performance metrics of both services. In this paper, the authors present, in detail, the methodology of experiment, comparative testing results, and statistical analysis on performance metrics.

Publisher

IGI Global

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning Management System (LMS) Performance Analysis and Evaluation for Some Kurdistan Region Universities;2023 9th International Engineering Conference on Sustainable Technology and Development (IEC);2023-02-21

2. Some Aspects of Implementation of Web Services in Load Balancing Cluster-Based Web Server;International Journal of Information Retrieval Research;2020-01

3. Some Aspects of Reliability Evaluation of Multi Service Multi-Functional SOAP Based Web Services;International Journal of Information Retrieval Research;2018-10

4. Investigations on Failure and Reliability Aspects of Service Oriented Computing Based on Different Deployment Techniques;Lecture Notes in Electrical Engineering;2018

5. Investigations On Some Aspects of Reliability of Content Based Routing SOAP based Windows Communication Foundation Services;International Journal of Information Retrieval Research;2017-01

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