On the Viability of Adaptive Paris Metro Pricing in Agent Based Model for Federated Clouds
V. Pradeep Kumar1, M. Gopichand2, N. Srinivasu3

1V. Pradeep Kumar, Department of Computer Science and Engineering, Padmasri Dr. B. V. Raju Institute of Technology, Narsapur (Telangana), India.
2Dr. M. Gopichand, Department of Computer Science and Engineering, K L University, Vadeswaram (Kerala), India.
3Dr. N. Srinivasu, Department of Information Technology, Vardhaman College of Engineering, Hyderabad (Telangana), India.

Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 114-117 | Volume-7 Issue-4, November 2018 | Retrieval Number: E1810017519©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Federated Clouds, Cloud resource pricing, Adaptive Paris Metro Pricing, Agent based model.

Scope of the Article: Probabilistic Models and Methods