Predict Success or Failure of Remote Infrastructure Management
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 to focussed whether a RIM will ultimately lead to improvement in Software Process using ANN. The benefit of this work will be that it will save cost and time in actual implementation of RIM.
Keywords: Artificial Neural Networks (ANN), Remote Infrastructure Management (RIM)
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