IT 277

Cloud Computing

TU BIM · Semester 8 · BIM curriculum effective from 2021

Requirement
elective
Credits
3
Syllabus
4 sections

Syllabus

What this course covers and how the teaching time is divided.

course syllabus loaded.

Cloud Computing Syllabus

Official TU PDF

Tribhuvan University

Faculty of Management

Office of the Dean

Bachelor of Information Management (BIM)

Course Title: Cloud Computing

Course Code: IT 277

Semester: Semester 8

Nature of Course: elective

Full Marks: 100

Pass Marks: 50

Credit Hours: 3 Cr.

Curriculum: BIM curriculum effective from 2021

Course Objective

:

The main objectives of this course are to provide theoretical as well as practical knowledge of cloud computing, including designing, implementing, and managing cloud computing.

Course Description

:

This course provides both theoretical and practical knowledge of cloud computing. It covers key concepts and practices related to designing, implementing, and managing cloud -based systems. Students will learn about various cloud service models, deployment strategies, and management techniques essential for building efficient and scalable cloud solutions.

Course Contents:

Lecture hours show the approximate classroom time allocated to each unit.

Unit 1.Introduction to Cloud Computing

5 hours

Evolution of Cloud Computing, Characteristics of Cloud Computing, Types of Cloud and its Cloud services, Benefits and challenges of cloud computing, Applications of Cloud Computing, Cloud Storage, Cloud services requirements, Cloud and dynamic infrastructure, Cloud adoption.

Unit 2.Cloud Computing Architecture

5 hours

Platform as a service, Software as a service, Infrastructure as a service, Public clouds, Private clouds, Community cloud, Hybrid clouds, Cloud design and implementation using SOA, security, trust, and privacy.

Unit 3.Cloud Applications

5 hours

Migrating to the cloud, software licenses, Cloud cost model, service levels for cloud applications-security, web applications design.

Unit 4.Cloud Virtualization Technology

8 hours

Introduction to Virtualization, different types of Virtualization, Implementation Levels of Virtualization Structures, Benefits of virtualization, server virtualization, virtualization software, Types of Hypervisor, and Load balancing, Infrastructure requirement for virtualization.

Unit 5.MapReduce and Applications

7 hours

Parallel computing, MapReduce model, MapReduce applications, parallel efficiency of MapReduce, Enterprise batch processing using MapReduce.

Unit 6.Cloud Security

6 hours

Cloud Security issues, challenges , and Risks , Software -as-a-Service Security , Security Monitoring, Security Architecture Design , Data and application Security, Virtual Machine Security, Legal issues and Aspects, Multi-tenancy issues.

Unit 7.Cloud Platforms and Applications

12 hours

Web services, AppEngine , Azure Platform, Aneka , Open challenges , Scientific applications, Business and Consumer applications. Laboratory Works The practical work should cover all features of cloud computing.

Suggested Readings:

Saurabh, K. (2017). Cloud computing (4th ed.). Wiley. Buyya, R., Vecchiola, C., & Selvi, S. T. (2013). Mastering cloud computing: Foundations and applications programming. Morgan Kaufmann. Linthicum, D. S. (n.d.). Cloud computing and SOA convergence in your enterprise. Sosinsky, B. (n.d.). Cloud computing bible. Saurabh, K. (2011). Cloud computing: Insights into new era infrastructure. Wiley India.