Cost Minimization Algorithm for Provisioning Cloud Resources

Abdullah Alenizi; Reda Ammar; Raafat Elfouly; Mohammad Alsulami; IEEE

doi:10.1109/ISSPIT51521.2020.9408841

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Cost Minimization Algorithm for Provisioning Cloud Resources

Abdullah Alenizi, Reda Ammar, Raafat Elfouly, Mohammad Alsulami and IEEE

2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp.1-6

09/12/2020

DOI: https://doi.org/10.1109/ISSPIT51521.2020.9408841

Abstract

Browsers

Cloud computing

Information technology

Minimization

Pricing

Provisioning

Resource Allocation

Signal processing

Signal processing algorithms

Workflow

Cloud Computing offers resources as a utility that can be accessed and rented via web browsers. It has also made it easy for paying for resources with different ways of pricing. However, that could result in overpaying for resources or underutilizing the reserved resources. In this paper, we focus on two main options in the pricing model, namely, pay-per-use and reserved instances. In the first one, users can pay for what they use only while the second option offers up to 72% discount but they have to pay in advance for the whole reserved period. In this paper, we present two algorithms for provisioning cloud resources to help cloud customers pick the most cost-effective plans for their jobs

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Details

Title: Cost Minimization Algorithm for Provisioning Cloud Resources
Creators - without role: Abdullah Alenizi - University of Connecticut
Reda Ammar - University of Connecticut
Raafat Elfouly - Rhode Island College
Mohammad Alsulami - University of Connecticut
IEEE
Publication Details: 2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp.1-6
Publisher: IEEE
Identifiers: 9924742208331
Academic Unit: Najran University
Language: English
Resource Type: Conference proceeding