This course covers topics and technologies
related to Cloud Computing and their practical
implementations. The course is organized in four
parts focising on: (i) Fundamental concepts and
models of Cloud Computing; (ii) Cloud-enabling
technologies: warehouse-scale machines,
virtualization, and storage; (iii) Cloud application
programming models and paradigms. (iv) Cloud
resource orchestration, monitoring, and DevOps.
The student will explore different architectural and
service models of cloud computing, the concepts
of virtualization, containerization, and cloud
orchestration. Through lectures, tutorials, and
laboratory sessions, the student will gain handson experience with various features of popular
cloud platforms, such as Openstack, VMWare,
Docker, and Kubernetes, as well as commercial
offerings like Google App Engine, Microsoft
Azure and Amazon Web Service. Advanced
cloud programming paradigms such as Hadoop’s
MapReduce and Microservices are also included in
the course. Students will also learn the concept of
modern Big Data analysis on cloud platforms using
various data mining tools and techniques. The lab
sessions will cover cloud application development
and deployment, use of cloud storage, creation
and configuration of virtual machines and data
analysis on cloud using data mining tools. Different
application scenarios from popular domains that
leverage the cloud technologies such as online
social networks will be explained. The theoretical
knowledge, practical sessions and assignments aim
to help students to build their skills to develop largescale industry standard applications using cloud
platforms and tools.
Outcome: Not Provided
