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Decision Mining with Time Series Data Based on Automatic Feature Generation Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design

Author : Monica Vitali

Published in: Advanced Information Systems Engineering

Publisher: Springer International Publishing

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Abstract

Data centers energy demand is increasing. While a great deal of effort has been made to reduce the amount of CO\(_2\) generated by large cloud providers, too little has been done from the application perspective. We claim that application developers can impact the environmental footprint by enhancing the application design with additional features. Following the proposed Sustainable Application Design Process (SADP), the application design is enriched with information that can be leveraged by cloud providers to manage application execution in an energy-aware manner. This exploratory work aims to emphasize the awareness on the sustainability of applications by proposing a methodology for its evaluation. To this end, we first suggest possible actions to enrich the application design towards sustainability, and finally describe how this additional information can be leveraged in the application workflow. We discuss the feasibility of our methodology by referring to existing tools and technologies capable of supporting the design features proposed in a production environment.

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Footnotes
4
Camunda: Microservices and BPMN: https://​bit.​ly/​3pxYPbS.
 
5
Zebee: A Workflow Engine for Microservices Orchestration: https://​zeebe.​io.
 
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Metadata
Title
Towards Greener Applications: Enabling Sustainable-aware Cloud Native Applications Design
Author
Monica Vitali
Copyright Year
2022
Book
Advanced Information Systems Engineering

Print ISBN: 978-3-031-07471-4

Electronic ISBN: 978-3-031-07472-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-031-07472-1_6

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