文章基本信息

标题：Performing High-Accuracy & Effective Remote Infrastructure Management using ANN
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作者：Satinder Pal ; Dr. Sanjay P. Sood ; Dr. Dharm Bir Singh 等
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：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. 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. 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 neurons in ANN system is one of the main conclusion.optim
关键词：Artificial Neural Networks (ANN); Remote Infrastructure Management;(RIM); Network Operations Centers (NOC); Classification;Matrix (CM) etces.