Cloud Computing for Research and Education Gets a Sweet Upgrade with CACAO
Affiliation
University of ArizonaIssue Date
2023-09-10Keywords
cloud computingcontainers
cyberinfrastructure
infrastructure as code
multicloud
open science
orchestration
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Association for Computing Machinery, IncCitation
Edwin Skidmore, Michele Cosi, Tyson Lee Swetnam, Zhuoyun Xu, Illyoung Choi, Sean Davey, Jeremy Frady, Mariah Wall, Michelle Yung, and Nirav Merchant. 2023. Cloud Computing for Research and Education Gets a Sweet Upgrade with CACAO. In Practice and Experience in Advanced Research Computing (PEARC ’23), July 23–27, 2023, Portland, OR, USA. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3569951.3597555Journal
PEARC 2023 - Computing for the common good: Practice and Experience in Advanced Research ComputingRights
© 2023 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We introduce Cloud Automation and Continuous Analysis Orchestration (CACAO), an open source web platform designed to facilitate access and availability of cloud resources for education and research. By leveraging open source Infrastructure-as-Code (IaC) technologies such as Terraform and Ansible, CACAO empowers users to create customized cloud resources and complex software stacks through an intuitive web interface. CACAO integrates with CyVerse, another prominent open source cyberinfrastructure, and is a featured interface for Jetstream2, a public education and research cloud. CACAO effectively manages multi-cloud deployments in OpenStack and commercial service providers. In 2022 bioinformatics and machine learning workshops worldwide used CACAO during its alpha release. CACAO adheres to open science standards and the FAIR data principles, broadening access to cloud platforms and reducing the complexity of deploying the resources necessary for teaching advanced data informatics skills required in today's workforce. © 2023 Owner/Author.Note
Open access articleISBN
978-145039985-2Version
Final Published VersionScopus Count
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Except where otherwise noted, this item's license is described as © 2023 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.