CPS: a dynamic and distributed pricing policy in cyber foraging systems for fixed state cloudlets

Abstract

The deployment of cyber foraging systems includes deployment of Cloudlets as computational agents, which receive heavy computational demands during peak hours based on the context of service being offered. We introduce an intelligent pricing policy mechanism for cloudlets-services for mobile cloud users. The dynamic distributed pricing policy CPS (cyber-foraging pricing scheme) also introduces methods which can optimize the computational service requests fired by the mobile cloud users. In CPS, each fixed cloudlet optimizes its revenue using the supply-demand curve and sets a dynamic cost for the home and foreign users. CPS considers two types of mobile-cloud users i.e., foreign users and home users and computational requests are fired from both home and foreign users. The proposed work uses working day movement mobility model for the mobile cloud users. This work uses response time by a cloudlet to evaluate its real time home and foreign prices. We also propose a hostile environment pricing scheme for the service providers. We implemented the proposed pricing scheme on NS-3 and collected the results. The results also indicate high increase in the utility of the corresponding mobile-cloud user.