Virtual Machine Cost & Computing comparison between cloud service

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 04 | 02 | Page :
    By

    Nimesh Shailendra Shahi,

  • Deepak Dalsingar Patel,

  • Shweta Waghmare,

  1. Research Scholar, Department of MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
  2. Research Scholar, Department of MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
  3. Assistant Professor, Department of MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India

Abstract

Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market positioning analysis, we evaluate each provider across multiple dimensions. Our findings reveal significant cost variations ranging from 14-34 percent across instance types, with Google Cloud Platform offering lowest general-purpose pricing at $27.67 per month, AWS demonstrating 28-37 percent lower network latency, and GCP delivering triple the network throughput of competitors. Market analysis indicates AWS maintains 31 percent market share, Azure holds 20 percent, and GCP captures 12 percent. Cost optimization strategies including reserved instances reduce expenses by 58-72 percent. This research contributes to a decision framework for organizations evaluating cloud providers, demonstrating optimal selection depends on workload characteristics rather than universal best provider. An interactive visualization dashboard enables dynamic exploration of pricing, performance, and market data.

Keywords: Cloud computing, virtual machines, cost analysis, performance benchmarking, AWS, Azure, Google Cloud Platform, infrastructure as a service

How to cite this article:
Nimesh Shailendra Shahi, Deepak Dalsingar Patel, Shweta Waghmare. Virtual Machine Cost & Computing comparison between cloud service. International Journal of Mobile Computing Technology. 2026; 04(02):-.
How to cite this URL:
Nimesh Shailendra Shahi, Deepak Dalsingar Patel, Shweta Waghmare. Virtual Machine Cost & Computing comparison between cloud service. International Journal of Mobile Computing Technology. 2026; 04(02):-. Available from: https://journals.stmjournals.com/ijmct/article=2026/view=247734


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Ahead of Print Subscription Original Research
Volume 04
02
Received 10/03/2026
Accepted 08/05/2026
Published 05/06/2026
Publication Time 87 Days
2

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