Abstract

Problem statement: Currently it is evident that the web service is emerging as a solution for business applications and deployment of web services witnesses exponential growth. Web services rely on networks particularly internet for implementing and consuming them in different applications. Whenever a network is involved in a software system, network traffic payload measurement and communication pattern play a key role in determining and enhancing performance of the software system. Thus, this study emphasizes the need for network traffic payload measurement in evaluating performance of implementation of web services. Approach: Further empirical measurement of the network traffic payload in implementation of web services is carried out to analyze performance of realization of web services. In this work, the web service realization is done through a model with three-tier approach which is suitable for business applications. Results and Conclusion: This study reports empirical results of network traffic involved in different implementations of web services.

Highlights

  • Web services: Web services emerged as the standard solution for describing, discovering and deploying functionalities over the web through open standard protocols SOAP, WSDL and UDDI

  • Web services play a vital role in business applications due to its unique inherent property of interoperability

  • SOAP is used as a protocol for messaging between service consumer and service provider

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Summary

INTRODUCTION

Web services: Web services emerged as the standard solution for describing, discovering and deploying functionalities over the web through open standard protocols SOAP, WSDL and UDDI. The realization of web service happens traffic via the coefficient of variation As it is discussed through the internet and so network traffic plays a above, many research works were done to analyze role in performance of web services. Based on these network traffic in various dimensions such as traffic motivational factors, this work empirically measures patterns, modeling and predicting traffic. As a novel experimental approach, network traffic payload involved in implementation of web services using different platforms is explored. Wireshark is used for analyzing performance based on network traffic involved in communication between different tiers for materializing web services in this model. Main results: The total network traffic involved in web Realizations of model using combinations of platforms

Application server
Total Http
Total Http requests
Total Http responses
Count Percentage
HTTP:GET which give a response in lesser time with lesser
International Conference on Distributed
International Conference on Advanced Language
International Conference on Emerging
International Symposium High Performance

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