System Engineering and Productivity

System Engineering and Productivity

Combining a Continuous Two-way Auction Model and Market-based Factors for Service Allocation in Cloud Computing

Document Type : Research Paper

Author
Nima Farajian
Ph.D. Student, Faculty of Computer Engineering, University of Kashan, Kashan,, Iran
10.22034/sep.2025.243393
Abstract
Cloud computing is a new approach to providing computing resources that is rapidly developing and has attracted the attention of many researchers and industry owners. In cloud computing, everything is provided in the form of a service, which can range from hardware infrastructure to various applications. Each user (consumer) refers to cloud computing to perform their required operations and to do this, they need to receive several different services simultaneously or as a workflow. Auction-based methods have high power for managing service allocation in distributed systems such as: cloud computing, grid computing, etc. In this research, a continuous two-way auction method for service allocation in cloud computing is presented, which allows the allocation of different services to users. In this method, consumers and providers thoroughly examine the market by examining various market-based factors and quickly converge their buying and selling prices to the market's acceptable price. The evaluation results show that in the aforementioned method, pricing is fair and based on market supply and demand, and the aforementioned method works efficiently in terms of successful allocation rate, service efficiency, and average allocation time.
Keywords
Cloud Computing
Multi-agent systems
Continuous two-way auction
Service Allocation

Copyright ©, Nima Farajian

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

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System Engineering and Productivity
Volume 1, Issue 1 - Serial Number 1
Serial No. 1, Winter Quarterly
Winter 2022
Pages 31-46