Cloud, edge, and fog computing: Trends and case studies
Publication Type
Book Chapter
Publication Date
10-2021
Abstract
As it is done today, an informal - solely based on experts’ intuition - evaluation of profitability of adopting cloud services is undependable and not scalable as there are many conflicting factors and constraints such evaluation should account for. The revenue from service tenants and the cost of implementing the service architecture are the leading service factors that drive profitability. Cloud service architectures also need to handle a growing number of tenants with increasingly diverse requirements which must be weighed against the capabilities and costs of various service architectures, particularly single- versus multi-tenanted models. We believe a conceptual model enumerating the many decisions and factors affecting profitability of various cloud service offering strategies, and explicating dependencies among those factors is the first step to set up a ground for systematic analysis of service profitability. Based on such a model, we can define methods and implement tools to aid service providers in evaluating and selecting service offering strategies. In this work, we present a model of cloud service profitability, as well as an example of a method and tool that our model facilitates.
Discipline
Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering
Publication
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0
Editor
Kavita Taneja, Harmunish Taneja, Kuldeep Kumar, Arvind Selwal, Eng Lieh Ouh
ISBN
9780367676278
Identifier
10.1201/9781003132080-8
Publisher
CRC Press
Citation
1
Additional URL
http://doi.org/10.1201/9781003132080-8