首页    期刊浏览 2024年07月19日 星期五
登录注册

文章基本信息

  • 标题:Calculating & Maximizing The Accuracy of Remote Infrastructure Management using Layers in ANN System
  • 本地全文:下载
  • 作者:Satinder Pal ; Dr. Sanjay P. Sood ; Dr. Dharm Bir Singh
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2011
  • 卷号:2
  • 期号:3(Version 2)
  • 出版社:Ayushmaan Technologies
  • 摘要:Matching IT infrastructure with the needs of a business is a CIO’s biggest challenge. The increasing complexity of IT infrastructure and the constant pressure to reduce its costs, forces CIOs to maximize the use of existing resources and to enhance productivity of key technical people. Downtime, however brief, can result in revenue losses, unhappy customers and a loss of productivity. Instead of using productive time to making strategic decisions, key personnel are forced to spend it in routine operations management of IT infrastructure. Remote Infrastructure Management (RIM) involves a combination of near-shore and offshore delivery models. RIM can reduce the costs of operations, thus enabling IT managers to consider investing in new technology. The objective of this paper is focused on Artificial Neural Networks (ANN) based system to verify whether a RIM will ultimately lead to improvement in Software Process. Predicting success or failure of RIM & achieving maximum accuracy by changing number of layers in ANN system is one of the main conclusion.
  • 关键词:Artificial Neural Networks (ANN); Remote Infrastructure Management;(RIM); Network operations centers (NOC); Classification;Matrix (CM) etc..
国家哲学社会科学文献中心版权所有