Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis

IF 3.6 2区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Grid Computing Pub Date : 2024-09-12 DOI:10.1007/s10723-024-09780-4

Vasiliki Liagkou, George Fragiadakis, Evangelia Filiopoulou, Christos Michalakelis, Anargyros Tsadimas, Mara Nikolaidou

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引用次数: 0

Abstract

Cloud computing has gained popularity at a breakneck pace over the last few years. It has revolutionized the way businesses operate by providing a flexible and scalable infrastructure for their computing needs. Cloud providers offer a range of services with a variety of pricing schemes. Cloud pricing schemes are based on functional factors like CPU, RAM, and storage, combined with different payment options, such as pay-per-use, subscription-based, and non-functional aspects, such as scalability and availability. While cloud pricing can be complicated, it is critical for businesses to thoroughly assess and compare pricing policies along with technical requirements to ensure they design an investment strategy. This paper evaluates current pricing strategies for IaaS, CaaS, and PaaS cloud services and also focuses on the three leading cloud providers, Amazon, Microsoft, and Google. To compare pricing policies between different services and providers, a hedonic price index is constructed for each service type based on data collected in 2022. Using the hedonic price index, a comparative analysis between them becomes feasible. The results revealed that providers follow the very same pricing pattern for IaaS and CaaS, with CPU being the main driver of cloud pricing schemes, whereas PaaS pricing fluctuates among cloud providers.

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评估云计算定价政策的复杂性：市场比较分析

过去几年，云计算以迅猛的速度得到普及。它为企业的计算需求提供了灵活、可扩展的基础设施，从而彻底改变了企业的运营方式。云计算提供商提供一系列服务和各种定价方案。云定价方案基于 CPU、内存和存储等功能因素，结合不同的付款方式，如按使用付费、订阅式以及可扩展性和可用性等非功能方面。虽然云定价可能很复杂，但企业必须全面评估和比较定价政策以及技术要求，以确保设计出投资策略。本文评估了IaaS、CaaS和PaaS云服务的当前定价策略，并重点关注了亚马逊、微软和谷歌这三家领先的云服务提供商。为了比较不同服务和提供商之间的定价政策，本文根据 2022 年收集的数据为每种服务类型构建了享乐价格指数。利用享乐价格指数，可以对它们进行比较分析。结果显示，提供商对 IaaS 和 CaaS 的定价模式完全相同，CPU 是云定价方案的主要驱动因素，而 PaaS 的定价则在云提供商之间波动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Grid Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

8.70

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： Grid Computing is an emerging technology that enables large-scale resource sharing and coordinated problem solving within distributed, often loosely coordinated groups-what are sometimes termed "virtual organizations. By providing scalable, secure, high-performance mechanisms for discovering and negotiating access to remote resources, Grid technologies promise to make it possible for scientific collaborations to share resources on an unprecedented scale, and for geographically distributed groups to work together in ways that were previously impossible. Similar technologies are being adopted within industry, where they serve as important building blocks for emerging service provider infrastructures. Even though the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines, including not only multiple domains of computer science (networking, middleware, programming, algorithms) but also application disciplines themselves, as well as such areas as sociology and economics, is needed to broaden the applicability and scope of the current body of knowledge.