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Profiling SLAs for cloud system infrastructures and user interactions.

M Emilia Cambronero¹, Adrián Bernal¹, Valentín Valero¹

¹Albacete Research Institute of Informatics, Department of Computer Science, University of Castilla La Mancha, Albacete, Spain.

Peerj. Computer Science

|June 4, 2021

Summary

This study introduces the CloudCost UML profile and MSCC tool to model cloud architectures and user behavior. It demonstrates how tiered pricing for regular and high-priority users can increase cloud infrastructure profits.

Keywords:

Cloud Design and simulation tools Model development Profit improvement SLAs

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Area of Science:

Computer Science
Cloud Computing
Software Engineering

Background:

Cloud computing offers cost savings by eliminating hardware and software expenses.
Service Level Agreements (SLAs) define terms and costs for cloud services.
Optimizing cloud infrastructure profitability is a key concern for providers.

Purpose of the Study:

To propose a UML profile (CloudCost) for modeling cloud architectures and user interactions.
To investigate profit maximization strategies for cloud infrastructures using differentiated pricing.
To introduce a computer-aided design tool (MSCC) for validating cloud cost models.

Main Methods:

Development of the CloudCost UML profile for cloud architecture and user behavior modeling.
Implementation of the MSCC tool to support the CloudCost profile.
Analysis of a case study involving tiered pricing for regular and high-priority users within SLAs.
Evaluation of profit increase potential through parameter and resource configuration adjustments.

Main Results:

The CloudCost UML profile enables detailed modeling of cloud environments and user resource requests.
The MSCC tool facilitates the creation, editing, and validation of cloud cost scenarios.
Differentiated pricing schemes, distinguishing between regular and high-priority users, show potential for increased cloud infrastructure profits.
Adjusting cloud parameters and resource configurations can significantly impact profitability.

Conclusions:

The CloudCost profile and MSCC tool provide a viable method for analyzing and optimizing cloud service costs.
Implementing tiered pricing based on user priority is an effective strategy for enhancing cloud provider revenue.
Further research can explore advanced pricing models and resource allocation strategies to maximize cloud infrastructure profits.