Title: An improved pricing algorithm for infrastructure as a service cloud

Authors: Seyyed-Mohammad Javadi-Moghaddam; Asieh Andarzgoo; Mohsen Saberi

Addresses: Department of Computer, Faculty of Engineering, Bozorgmehr University of Qaenat, Qaen, Iran ' Department of Computer, Islamic Azad University, Birjand Branch, Iran ' Department of Computer, Faculty of Engineering, Bozorgmehr University of Qaenat, Qaen, Iran

Abstract: Marketing in cloud systems enables users to trade and share resources. For the sales of services, client applications and service providers negotiate to make a service level agreement. Offering prices in the negotiation of services become one that is challenging. A federal cloud is an efficient approach of recent interest to better balance risk sharing between services provider and customer. This work presents a new algorithm to increase service provider revenue and reducing user costs simultaneously. The auction of remaining time spent on resources and interactions between federal clouds increases the profits of clouds, the number of successful requests, and reduces users' costs. The simulation results confirm the expectations of the proposed approach.

Keywords: federal cloud; pricing model; service quality; service level agreement; SLA.

DOI: 10.1504/IJCC.2021.10044180

International Journal of Cloud Computing, 2021 Vol.10 No.5/6, pp.393 - 405

Received: 30 Jan 2019
Accepted: 10 Jul 2019

Published online: 10 Jan 2022 *

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