Cloud Computing: Part 3
This course is the third in a series of three courses covering introductory, intermediate and advanced topics in cloud computing. This course provides an advanced treatment of the subject, focusing on the economics of cloud computing, or more precisely, helping organizations make a decision about whether to adopt cloud computing in one or more of its forms. The decision making process incorporates a comprehensive identification of risks and opportunities presented by cloud adoption. Quantitative methodology is utilized for comparing the costs of various forms of cloud computing to in-house computing alternatives. Dr. Laplante also reviews two IEEE-led cloud standards initiatives that will increase the interoperability potential of cloud-based systems and help reduce the risks and decrease the costs of cloud computing. And finally, he offers recommendations and best practices for successful cloud computing implementation. This course is substantially based on a publication prepared by the US National Institute of Standards and Technology (or NIST): Draft Cloud Computing Synopsis and Recommendations, NIST SP 800-146, (Badger et al., 2012).
What you will learn:
- Review the decision making process
- Examine value propositions and risks
- Discuss quantitative decision making, standards and recommendations and best practices
Related courses:
Who should attend: Electrical engineer, Design engineer, Systems engineer, communications, Product engineer, Computer engineer, software, Lead engineer, Project engineer, QA/quality engineer
Instructor
Phillip Laplante
Dr. Laplante is Professor of Software Engineering at Penn State, where he teaches and conducts applied research in software and systems engineering. He has over 25 years of experience building, studying, and teaching about various kinds of software systems. Dr. Laplante has authored or edited 28 books and has published more than 200 scholarly papers. Dr. Laplante is a Fellow of the IEEE and SPIE. He is also currently leading the team that is writing the licensure exam for software engineers in the United States.
Publication Year: 2012
ISBN: 1-4673-3183-X