Stochastic Analysis of Marketing Strategies in Internet Traffic
by Thakur Sanjay and Shukla Diwakar.
In the present days of electronic media, more and more people are using to Internet
access for their official, personal, entertainment or other related works. Besides
expanding services through broadband, a majority of people are still using modem based
dialup connections for availing the Internet connectivity at their homes or organizations.
There are many Internet service providers grooming in the market causing inherent
competition in business. Due to high demand, users are growing drastically day-by-day
creating excess traffic load and congestion on the dialup network. Service providers (or
operators) are offering attractive packages to improve upon their customer-base as a part
of marketing strategies. This paper presents a stochastic analysis of Internet traffic
distribution among operators in light of 'Hold-on' and 'Pull-Back' marketing strategies
along with controlled usual parameters like first-choice and quality-of- service. It is
observed that traffic distribution of different categories of users is influenced by the new
marketing strategies. The first choice also depends on marketing plans and network
blocking probabilities. Simulation study is performed with the help of a Markov chain
model to examine the interrelationship among various market related parameters and
Markov chain model, Transition probability, Initial preference, Blocking
probability, Call-by-call basis, Internet Service Provider [ or Operators], Internet access,
Internet traffic, Quality of Service (QoS), Simulation, Network congestion, Transition
probability matrix, Users behavior
Sanjay Thakur, firstname.lastname@example.org
Aqeel, Mohammed I. A, email@example.com
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