The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Some Aspects of QoS for High Performance of Service-Oriented Computing in Load Balancing Cluster-Based Web Server
Abstract
Quality estimation for viability of data processing and delivering through the paradigm of service oriented computing and load balancing cluster based web server for high performance of services against extensive load of consumers is an important concern in the domain of grid and distributed computing, big data analysis and internet of things. As such, this chapter proposes a quality estimation framework considering a prototype architecture for multi service multi-functional web services deploying in load balancing cluster based Apache Tomcat web server and developing a clinical database for processing disease related queries through the architecture. The high quality of service is monitored by generating extensive load of users over the system through Mercury LoadRunner load testing tool. In this chapter, the authors will discuss the methodology to study the quality of service, recorded quality metrics against different load of users and the statistical analysis along with results to establish the feasibility, applicability and adaptability of proposed quality estimation framework.
Related Content
|
Kamel Mouloudj, Vu Lan Oanh LE, Achouak Bouarar, Ahmed Chemseddine Bouarar, Dachel Martínez Asanza, Mayuri Srivastava.
© 2024.
20 pages.
|
|
José Eduardo Aleixo, José Luís Reis, Sandrina Francisca Teixeira, Ana Pinto de Lima.
© 2024.
52 pages.
|
|
Jorge Figueiredo, Isabel Oliveira, Sérgio Silva, Margarida Pocinho, António Cardoso, Manuel Pereira.
© 2024.
24 pages.
|
|
Fatih Pinarbasi.
© 2024.
20 pages.
|
|
Stavros Kaperonis.
© 2024.
25 pages.
|
|
Thomas Rui Mendes, Ana Cristina Antunes.
© 2024.
24 pages.
|
|
Nuno Geada.
© 2024.
12 pages.
|
|
|