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Learning outcomes |
The aim of the course is to provide students with a broad and integrative perspective of virtualization and datacenter technologies. At the end of the course, students should be able to systematize an approach to the various virtualization and datacenter technologies that provide applications and services with high availability, greater flexibility, better resource utilization, greater scalability and adaptability, and reduced costs. Students should be able to assess the choices, solutions and commitments involved in the development, deployment, use and management of virtualized infrastructures and datacenters.
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Main Bibliography |
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things, Kai Hwang, Jack Dongarra, Geoffrey C. Fox (Authors), Morgan Kaufmann, 1st edition, 2011, ISBN-13: 978-0123858801, 672 pages.
Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-Hosted Services, Kenneth P. Birman (Author), Springer, 2012, ISBN-13: 978-1447124153, 730 pages.
Cloud Computing: A Hands-On Approach, Arshdeep Bahga, Vijay Madisetti (Authors), Vijay Madisetti, 2014, ISBN-13: 978-0996025508, 456 pages.
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