IJERT-EMS
IJERT-EMS

Experimental Research on Influence of Hardware Infrastructure Sizing on Optimization of PLM System Performance in Auto Industry


Experimental Research on Influence of Hardware Infrastructure Sizing on Optimization of PLM System Performance in Auto Industry
Authors : M. S. Gopinatha, Dr. Vishnukanth S. Chatpalli, Dr. K. S. Sridhar
Publication Date: 07-03-2013

Authors

Author(s):  M. S. Gopinatha, Dr. Vishnukanth S. Chatpalli, Dr. K. S. Sridhar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.2 - Issue 3 (March - 2013)

e-ISSN:   2278-0181

Abstract

PLM technology has become the backbone of product design and development for many of the auto companies across the globe. System Performance is the ¡ÈTransaction time as perceived by the end-user - conforming to requirements¡É. Optimized performance of all the IT components of the PLM system will ensure successful product design and development in auto industry. Optimization will generally focus on improving just one or two aspects of performance: execution time, memory usage, disk space, bandwidth, power consumption or some other resource. This will usually require a trade-off - where one factor is optimized at the expense of others. A typical PLM system in automobile industry consists of the PLM Application server which hosts the PDM system, CAD system, Digital Simulation system, BOM system etc. Database server stores all metadata of PLM system while the bulk data is stored in the file volume server. Web server helps in connecting the PLM Application server with client machines, ERP systems, CRM/SCM systems, legacy systems etc. [Ref. 4 and 5] An effort is made in this research paper for analysis of the hardware infrastructure component of the PLM system, which greatly influences the optimization of performance [Ref. 6]. This paper provides guidelines for establishing initial server configuration and sizing specifications. This is typically represented as SPECint_rate_base2006 points per concurrent user, for CPU; and MB per concurrent user, for memory. It provides information about each infrastructure resource that may require adjustments to meet unique usage requirements of automobile companies. Experimental research is conducted to find out information about the types of computing resource required for a specific sample usage profile using the test labs of Siemens PLM Software. The main objective of this experimental research is to develop a baseline test result, which would lead to sizing guidelines for CPU and Memory requirements per concurrent user of PLM system.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     450
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book