• N.Mounika
• P.Neelima

in this paper, we endeavor to design an accommodation mechanism for profit optimizations of both a cloud provider and its multiple users. We consider the quandary from a game theoretic perspective and characterize the relationship between the cloud provider and its multiple users as a Stackelberg game, in which the strategies of all users are subject to that of the cloud provider. The cloud provider endeavors to cull and provision opportune servers and configure an opportune request allocation strategy to reduce energy cost while satiating its cloud users concurrently. We approximate its server’s cull space by integrating a controlling parameter and configure an optimal request allocation strategy. For each utilizer, we design a utility function which amalgamates the net profit with time efficiency and endeavor to maximize its value under the strategy of the cloud provider. We formulate the competitions among all users as a generalized Nash equilibrium quandary (GNEP). We solve the quandary by employing variational inequality (VI) theory and prove that there subsists a generalized Nash equilibrium solution set for the formulated GNEP. Conclusively, we propose an iterative algorithm (IA), which characterizes the whole process of our proposed accommodation mechanism. We conduct some numerical calculations to verify our theoretical analyses. The experimental results show that our IA algorithm can benefit both of a cloud provider and its multiple users by configuring opportune strategies.

"An approximation algorithm based on Non-cooperative game Theory for a Cloud Provider and Its Users", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.96-104, August-2018, Available :http://www.jetir.org/papers/JETIR1808170.pdf

"An approximation algorithm based on Non-cooperative game Theory for a Cloud Provider and Its Users", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp96-104, August-2018, Available at : http://www.jetir.org/papers/JETIR1808170.pdf