Cloud Computing and Big Data Educational Opportunities
The goal of the cloud computing education track is to provide an offering for a rich and varied curriculum of courses on cloud computing and big data. These include the following:
- continuing education,
- eLearning modules, and
- videos of conference and section/chapter talks.
AWS Programs for Research and Education
Students, educators, and researchers are key drivers of technological innovation. AWS has two programs to enable customers to move their research or teaching endeavors to the cloud and innovate quickly and at lower cost. Read more.
Cloud Computing for K–12 Will See Steady Growth Through 2021
by Meghan Bogardus Cortez, Edtechmagazine.com, Sep 05, 2017
Thanks to its cost, accessibility and innovation, school districts are embracing cloud to boost student outcomes. Read more.
Dropbox is making it cheaper for schools to live in the cloud
by Nathan Ingraham, engadget.com, May 10, 2016
For the last few years, Dropbox's main revenue focus has been on its business-focused offering, not its consumer one. More than 150,000 companies have signed up with Dropbox Business, and a push for huge enterprise businesses is underway. But today, the company is making colleges and universities its target with Dropbox Education. The product is essentially the same as the Dropbox business offering, which combines gives businesses unlimited cloud storage combined with a variety of security controls, extensive version history and the administration controls needed to keep data safe in large organizations.
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eLearning Video: Big Data Introduction Part 1 of 3
This is the first in a series of three tutorials on big data created by Mark Davis and the IEEE Cloud Computing Initiative. In this introduction to big data, you will understand the why's, what's, how's of big data, where it's going, and some of the key concepts of big data.
Mark Davis is a Distinguished Engineer at Dell following the acquisition of his big data analytics company, Kitenga. Mark founded Kitenga and served as CTO prior to the acquisition, designing and building the core Hadoop-based engine for the enrichment and analysis of unstructured data.
IEEE Xplore - eLearning Courses
This is a series of three tutorials by Phillip Laplante covering introductory, intermediate and advanced topics in cloud computing.
Cloud Computing Part I: Introduction - This course serves as an introduction to cloud computing for individuals and organizations. Dr. Laplante reviews the following topics:
- Basic concepts (e.g., cloud computing definitions, essential characteristics of clouds, the value proposition for cloud computing)
- National Institute of Standards and Technology (NIST) model for cloud infrastructure elements
- Cloud infrastructure from the consumer and producer views; basic issues in cloud security
- Cloud usage scenarios (including public, private, community and hybrid clouds)
- Consumer-producer relationship (service agreements, promises and limitations)
Cloud Computing Part 2 - The intent of this course is to build upon basic concepts in cloud computing and conduct a deeper exploration of cloud computing and its principles and practices. The course will focus on the architecture, dynamics, applications, benefits and issues of concern for the three service models.
Cloud Computing Part 3 - 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.
Fundamentals of Energy Harvesting and the Cloud
Jack Shandle, Technology Editor
This fundamentals course covers an unusually wide range of topics beginning with the gigawatts required to power the Cloud and concluding with the need to develop more energy-efficient transistors. Just as the Cloud can be viewed as a torrent of bits, so the most elegant solution to its growing energy appetite is to make the switching of electrons significantly more energy efficient. In between, we look at representative energy efficiency technologies and their Cloud-related applications. The core content of this course includes:
- Impact of the Internet of things on Cloud energy consumption
- Cloud vs. Laptop shootout - Rating energy efficiency
- Harnessing mobile data growth - and its power demands
- Web server efficiency
- Leading-edge DC-DC conversion technology
- CMOS hitting an energy wall - Impact on the Cloud
While most fundamentals courses are informational this one also has a theme - and it presents a challenge: Harnessing Cloud energy consumption is every design engineer’s concern.
Cloud Computing Career Search
Cloud computing is already having a huge impact on job creation. As more and more businesses around the world adopt cloud services, analysts predict nearly 14 million new cloud careers will be created worldwide between 2011 and 2015. Visit the link below to begin your career search on the IEEE JobSite and discover your place in the cloud.
IEEE Cloud Computing on LinkedIn
Join our cloud discussions and connect with our members on the IEEE Cloud Computing LinkedIn group.