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Pervasive Computing - the Next Era of Business Computing

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Pervasive Computing - the Next Era of Business Computing
Pervasive Computing - the next era of Business Computing

Dr. Rabindra Ku Jena, Nitya Wardha
Institute of Management Technolgy, Nagpur, India

Abstract
The years to come promise to bring about a new area of information technology (IT) by transferring new technological systems from the minds of scientists and technicians into reality. Pervasive computing is emerging rapidly as an exciting new paradigm and discipline to provide computing and communication services all the time, everywhere. Its systems are now invading every aspect of life to the point that they are disappearing inside all sorts of appliances or can be worn unobtrusively as part of clothing and jewelry. This emergence is a natural outcome of research and technological advances in wireless networks, embedded systems, mobile computing, distributed computing and agent technologies. Its explosive impact on academics, industry, government and daily life can be now seen in every place. On one hand, the new paradigm known under terms such as pervasive, calm, or ubiquitous computing, or as ambient intelligence has the potential to overcome many insufficiencies of current information systems. But, on the other hand, it entails tremendous threats to individuals and society. Pervasive computing (PC) promises to offer previously inconceivable levels of support for human activities by a technology working imperceptibly in the background. Obviously, pervasive services provided by the omnipresence of countless little helpers, invisibly embedded in the environment where one works or spends his or her private time. Over the years, the pervasive computing vision implies a tremendous increase in the amount, quality, and accuracy of data generated and collected. The increase in qualitative terms does not only result from the enhanced abilities to collect data, it is also a consequence of a ubiquitous access to these data and of the ever-enhancing capabilities to process and analyze them. To support these causes, a

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