Abstract :
Success of cloud computing service depends on an acceptable pricing
mechanism both by users and the service provider. Piece rate pricing by counting
work load should be favorable for the service provider due to the QoS control and
finite resource, such as computing and, communication powers. Though the pricing
mechanism based on counting work load is reasonable and fair, the experiences
learned from ADSL, 3G and Wi-Fi show a different story. The flat rate pricing
mechanism is the winner all the way. This study proposes a flat rate pricing
mechanism with congestion control, called FRPCC. In the cloud computing system,
allocation of resources can be formulated as an optimization problem seeking to
maximize the sum of the utility function of each user under the constraints of
fairness. The piece rate pricing mechanism is easy to achieve the social welfare but
is not easy to be acceptable for customers. Consequently, we propose a congestion
control scheme to reach the same goal with a flat rate pricing mechanism. The
proposed FRPCC approach can achieve social welfare in the cloud computing
environment. Performance evaluations show efficacy of, FRPCC approach in providing
social welfare under fairness and preventing congestion
