Survey on the Methodologies to Improve the Scalability of SWS

Authors

  • Mr. Ajay Kumar Computer Science & Engineering, JSSATE, Noida
  • Dr. Naresh Chauhan Computer Engineering, YMCAUST, Faridabad
  • Dr. Jyoti Computer Engineering, YMCAUST, Faridabad

Keywords:

Scalable Service discovery, Network scalability, Scalable semantic web services

Abstract

A system is said to scale if it is suitably efficient and practical when applied to large situations (e.g. a large
input data set, a large number of outputs or users, or a large number of participating nodes in the case of a distributed
system). If the design or system fails when a quantity increases, it does not scale. Similarly the nodes get overloaded by
service registration queries or service discovery queries, the performance of the system is degraded. So in order to scale
the service discovery system there is a need to develop some techniques which can provide the scalability to the semantic
web services (SWS). This paper describes some methodologies to improve the scalability of these services in order to
resolve the performance issues.

Downloads

Published

2016-02-25

How to Cite

Mr. Ajay Kumar, Dr. Naresh Chauhan, & Dr. Jyoti. (2016). Survey on the Methodologies to Improve the Scalability of SWS. International Journal of Advance Research in Engineering, Science & Technology, 3(2), 171–177. Retrieved from https://ijarest.org/index.php/ijarest/article/view/438

Issue

Vol. 3 No. 2 (2016): Volume: 03, Issue: 02 - February, 2016.

Section

Articles