Server Selection by using Weighted Sum and Revised Weighted Sum Decision Models

The role of the information technology is growing rapidly in the world of business, to communicate with the customers effectively. Computer network is the back bone of any organization. It helps in effective utilization of resources such as time, money etc. Server plays an important role in the network, to store the data. A wide variety of servers exist in the market. This paper focuses on the evaluation of actual worth of the server of IBM, HP, and Sun micro systems, based on the real cost of the parameters. The selection of the appropriate server depends on the requirements of application in business organization, which becomes a very difficult task. To select the server from several alternatives, based on the worth calculated by considering the objective parameters like processor, memory, hard disk etc. and the subjective parameters such as after sales service, product quality, brand name etc. by using the weighted sum model and revised weighted sum decision models. On the basis of calculated actual worth, the ranking has been done by using weighted sum model and, revised weighted sum decision model after normalization, resulting IBM at the top, following HP and SMS servers.