On the viability of adaptive paris metro pricing in agent based model for federated clouds

Abstract

Federated Clouds provides efficient resource pricing using static and dynamic methods. Most of these pricing models are analyzed based on cloud service provider perspective to maximize their revenue. Need of pricing model to prioritize the users request for allocating resources according to their demands and provide maximum utility within optimal price. This paper analyzes the viability of Adaptive Paris metro pricing (APMP) in agent based model for federated clouds to achieve equilibrium between provider and users of cloud in gaining maximum revenue with optimal price. Further APMP achieving strategy proof is analyzed with simulation support for federated clouds.