Introduction To Cloud Computing detailed syllabus for Cloud Computing & Big Data (CC) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Cloud Computing & Big Data students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Cloud Computing & Big Data 3rd Sem scheme and its subjects, do visit Cloud Computing & Big Data (CC) 3rd Sem 2021 revision scheme. The detailed syllabus of introduction to cloud computing is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the student will be able to:
- Outline fundamental concepts and models of cloud computing
- Summarize Principles of Parallel & Distributed Computing and virtualization
- Explain different Cloud Computing Mechanisms
- Contrast different public cloud platforms.
Module 1:
Basic Concepts and Terminology: Defining a cloud, IT Resource, Cloud Consumers and Cloud Providers, Scaling, Cloud Service, Cloud Service Consumer, Goals and Benefits, Risks and Challenges, Roles and Boundaries, Cloud Characteristics, Collaborating in Cloud Environment with example Cloud Delivery Models- The cloud reference model – Infrastructure-as-a-service ((IaaS)), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), Comparing Cloud Delivery Models, Combining Cloud Delivery Models Cloud Deployment Models- Public Clouds, Community Clouds, Private Clouds, Hybrid Clouds, Other Cloud Deployment Models Cloud Computing Architecture History of Cloud Computing Building Cloud Computing Environments: Application development, Infrastructure and system development, Computing Platform and Technologies.
Module 2:
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Module 3:
Cloud Infrastructure Mechanisms: Logical Network Perimeter, Virtual Server, Cloud Storage Device, Cloud Usage Monitor, Resource Replication, Ready-Made Environment Specialized Cloud Mechanisms: Automated Scaling Listener, Load Balancer, SLA Monitor, Pay-Per-Use Monitor, Audit Monitor, Failover System, Hypervisor, Resource Cluster, Multi-Device Broker, State Management Database. Cloud Management Mechanisms: Remote Administration System, Resource Management System, SLA Management System, Billing Management System.
Module 4:
Cloud Platforms in Industry : Amazon web services – Compute services – Storage services – Communication services. Google AppEngine – Architecture and core concepts – Application life cycle, Cost model. Microsoft Azure: Azure core concept, SQL Azure, Windows Azure platform appliance
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Reference Books:
- Kai Hwang , Geoffrey C Fox, Jack J Dongarra : “Distributed and Cloud Computing – From Parallel Processing to the Internet of Things”, Morgan Kaufmann Publishers – 2012.
- Dan C. Marinescu, Cloud Computing: Theory and Practice, Elsevier Science, 2013, 1st Edition, Print Book ISBN :9780124046276, eBook ISBN :9780124046412
- Rishabh Sharma, Cloud Computing Fundamentals, Industry Approaches and Trends, Wiley-2015
Online Resources
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
For detailed syllabus of all other subjects of Cloud Computing & Big Data (CC), 2021 revision curriculum do visit Cloud Computing & Big Data 3rd Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Cloud Computing & Big Data (CC) of diploma 2021 revision curriculum do visit SITTTR diploma Cloud Computing & Big Data (CC) results..
For all Cloud Computing & Big Data academic calendars, visit Cloud Computing & Big Data all semesters academic calendar direct link.