Title: Mathematical modelling pricing of instances the providers of the infrastructure as a service: an adapted hedonic approach

Authors: Laize D.L. Trindade; Fernando Parahyba; Rafael Z. Frantz; Fabricia Roos-Frantz; Sandro Sawicki

Addresses: Unijuí University - Rua do Comércio, 3000 Ijuí, RS, Brazil ' Unijuí University - Rua do Comércio, 3000 Ijuí, RS, Brazil ' Unijuí University - Rua do Comércio, 3000 Ijuí, RS, Brazil ' Unijuí University - Rua do Comércio, 3000 Ijuí, RS, Brazil ' Unijuí University - Rua do Comércio, 3000 Ijuí, RS, Brazil

Abstract: In Infrastructure-as-a-Service (IaaS), the large number of providers and instances combined with the lack of transparency in understanding pricing policies hampers the choice for the best provider-plan-instance combination. An issue less explored by the scientific community is the physical location of datacentre and its influence on forming the final price of an instance. We developed a set of four mathematical models that estimates and represents in detail the prices of each of the three leading providers in the market and the canonical model. The modelling was empirically carried out. The verification and analysis of the individual models, and of the canonical model, were carried out through the comparison of the real-price and the price estimated by the model. Thanks to that, it was possible to see that the values obtained represented characteristics from computational resources in the composition of the provider plans.

Keywords: cloud computing; IaaS; infrastructure-as-a-service; canonical model; mathematical modelling; hedonic model; IaaS providers; geographic location; pricing; estimate; represent.

DOI: 10.1504/IJCAT.2023.131591

International Journal of Computer Applications in Technology, 2023 Vol.71 No.2, pp.110 - 129

Received: 03 Feb 2022
Received in revised form: 26 Jun 2022
Accepted: 02 Aug 2022
Published online: 20 Jun 2023 *

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