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International Journal of Computer and Communication Technology

Abstract

With the kind of technological advancements such as cloud computing, virtualization, computing grids, etc, that we are seeing today, soon the hardware and software producers will be under severe pressure to deliver cheaper and cost effective solutions and to combine them with innovate commercial models such as “pay as you use” or “pay per use” etc. Imagine that your lap top contains only a browser like software, which will enable you to connect to clouds around your area and then dynamically fetch the required computing resources of h/w and s/w. It will be even better; if you could get software (even a DBMS) that you want at that point in time to execute an application, for a pepper corn price subscription. In order to be made affordable of such massive computing hardware and software systems, the vendors have to depend on exponential volume growth of users and also cost reduction of the computing infrastructure by taking a complete relook at the architecture of the h/w and s/w systems to make them lighter and cheaper to manufacture. The industrial revolution taught us job specialization as one of the major means to improve productivity and to cut manual labor costs. We now need such a specialization in the computing arena as well. I am starting with a fundamental premise that all computing systems available today are heavily biased towards data processing with very limited specialization. The systems are produced to contain an overload of computer parts of h/w and s/w code, more than what is required for most situations. Therefore, whether you like it or not, you end up paying for the overloaded complexity that you may very rarely require. The main theme of this submission is to relook at creating optimally functioning specialized systems coupled with the elimination of massive overload of unwanted processing needs could make them less complex, easy to use and cheap.

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