Publication Type

Book Chapter

Version

acceptedVersion

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

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Data science and innovations for intelligent systems

Editor

Kavita Taneja, Harmunish Taneja, Kuldeep Kumar, Arvind Selwal, Eng Lieh Ouh

First Page

181

Last Page

208

ISBN

9780367676278

Identifier

10.1201/9781003132080-8

Publisher

CRC Press

City or Country

Boca Raton

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1201/9781003132080-8

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