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Ravichandran (ravit@rpi.edu) is an assistant professor in the Lally School of Management and Technology at Rennselaer Polytechnic Institute in Troy
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Arun Rai (arunrai@gsu.edu) is an associate professor in the Department of Decision Sciences in the College of Business Administration at Georgia State University in Atlanta
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Arun Rai, T. Ravichandran, and Subhashish Samaddar Anticipate the Global Diffusion Don t ignore the user and application diversity factor when trying to predict the future number of Internet hosts. How to Internet s T racking the Internet s global diffusion is a daunting but increasingly important task, especially for network capacity planners [8]. A 1997 report found that the Internet consists of more than 16 million registered host computers. Conceived initially as a demonstration project for the U.S. government, the Internet today aggregates traffic from a vastly wider set of constituencies. And commercial use now accounts for 58% of Internet traffic, far exceeding the network s original purposes in research and education [2]. But consumers of Internet-related services are regularly frustrated by slow response time, inaccessible online services, and breakdowns leading to services being unavailable. These problems can follow inadequate capacity planning caused by ignorance of the Internet growth process. For example, planning for the number of hosts that can be supported has to account for the network s potential future use. Rapid growth could lead to the saturation of address spaces for new hosts much more quickly than expected. Developing models that explain the growth process
Communications of the ACM – Association for Computing Machinery
Published: Oct 1, 1998
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