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Heuristic Resource Reservation Policies for Public Clouds in the IoT Era

With the advances in the IoT era, the number of wireless sensor devices has been growing rapidly. This increasing number gives rise to more complex networks where more complex tasks can be executed by utilizing more computational resources from the public clouds. Cloud service providers use various...

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Autor principal: Gul, Omer Melih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737998/
https://www.ncbi.nlm.nih.gov/pubmed/36501737
http://dx.doi.org/10.3390/s22239034
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author Gul, Omer Melih
author_facet Gul, Omer Melih
author_sort Gul, Omer Melih
collection PubMed
description With the advances in the IoT era, the number of wireless sensor devices has been growing rapidly. This increasing number gives rise to more complex networks where more complex tasks can be executed by utilizing more computational resources from the public clouds. Cloud service providers use various pricing models for their offered services. Some models are appropriate for the cloud service user’s short-term requirements whereas the other models are appropriate for the long-term requirements of cloud service users. Reservation-based price models are suitable for long-term requirements of cloud service users. We used the pricing schemes with spot and reserved instances. Reserved instances support a hybrid cost model with fixed reservation costs that vary with contract duration and an hourly usage charge which is lower than the charge of the spot instances. Optimizing resources to be reserved requires sufficient research effort. Recent algorithms proposed for this problem are generally based on integer programming problems, so they do not have polynomial time complexity. In this work, heuristic-based polynomial time policies are proposed for this problem. It is exhibited that the cost for the cloud service user which uses our approach is comparable to optimal solutions, i.e., it is near-optimal.
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spelling pubmed-97379982022-12-11 Heuristic Resource Reservation Policies for Public Clouds in the IoT Era Gul, Omer Melih Sensors (Basel) Article With the advances in the IoT era, the number of wireless sensor devices has been growing rapidly. This increasing number gives rise to more complex networks where more complex tasks can be executed by utilizing more computational resources from the public clouds. Cloud service providers use various pricing models for their offered services. Some models are appropriate for the cloud service user’s short-term requirements whereas the other models are appropriate for the long-term requirements of cloud service users. Reservation-based price models are suitable for long-term requirements of cloud service users. We used the pricing schemes with spot and reserved instances. Reserved instances support a hybrid cost model with fixed reservation costs that vary with contract duration and an hourly usage charge which is lower than the charge of the spot instances. Optimizing resources to be reserved requires sufficient research effort. Recent algorithms proposed for this problem are generally based on integer programming problems, so they do not have polynomial time complexity. In this work, heuristic-based polynomial time policies are proposed for this problem. It is exhibited that the cost for the cloud service user which uses our approach is comparable to optimal solutions, i.e., it is near-optimal. MDPI 2022-11-22 /pmc/articles/PMC9737998/ /pubmed/36501737 http://dx.doi.org/10.3390/s22239034 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gul, Omer Melih
Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title_full Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title_fullStr Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title_full_unstemmed Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title_short Heuristic Resource Reservation Policies for Public Clouds in the IoT Era
title_sort heuristic resource reservation policies for public clouds in the iot era
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737998/
https://www.ncbi.nlm.nih.gov/pubmed/36501737
http://dx.doi.org/10.3390/s22239034
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