Cloud Computing Syllabus | Semester 7 | BCATU

Cloud Computing Syllabus | Semester 7 | BCATU

Course Syllabus

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0 views6 Units58 Teaching Hrs

Course Information

Type: Theory
Course Code: CACS402
Credit Hours: 3
Full Marks: 100
Pass Marks: 40

Objectives

The general objectives of this course are to provide theoretical as well as practical knowledge of cloud computing to make students capable of designing, implementing and managing the issues of cloud computing in their personal as well professional life.

Course Units

6 Units · 58 Hrs

1.1 Overview of Cloud Computing
1.2 Evolution of Cloud Computing
1.3 Characteristics of Cloud Computing
1.4 Types of cloud and its Cloud services
1.5 Benefits and challenges of cloud computing
1.6 Applications cloud computing
1.7 Cloud Storage
1.8 Cloud services requirements,
1.9 cloud and dynamic infrastructure
1.10 Cloud adoption

2.1 Cloud reference model
2.1.1 Platform as service
2.1.2 Software as a service
2.1.3 Infrastructure as service
2.2 Cloud deployment models
2.2.1 Public clouds
2.2.2 Private clouds
2.2.3 Community cloud
2.2.4 Hybrid clouds
2.3 Cloud design and implementation using SOA,
2.4 security, trust and privacy

3.1 Overview of Virtualization techniques
3.2 Types of Virtualizations
3.3 Implementation Levels of Virtualization Structures
3.4 virtualization benefits
3.5 server virtualization
3.6 hypervisor management software
3.7 virtual infrastructure requirements

4.1 Introduction to parallel computing
4.2 Map-reduce model
4.3 Applications of map reduce
4.4 Parallel efficiency of Map-Reduce
4.5. MapReduce infrastructure

5.1 Introduction to Security,
5.2 Cloud Security challenges and Risks,
5.3 Software-as-a-Service Security
5.4 Security Monitoring
5.5 Security Architecture Design
5.6 Data Security
5.7 Application Security
5.8 Virtual Machine Security
5.9 Identity Management and Access Control

6.1 Web services
6.2 AppEngine
6.3 Azures Platform
6.4 Aneka
6.4 Open challenges
6.5 Scientific applications
6.6 Business and Consumer applications

Teaching Methods

The teaching faculties are expected to create an environment where students can update and upgrade themselves with the current scenario of computing and information technology with the help of topics listed in the syllabus. The general teaching pedagogy that can be followed by teaching faculties for this course includes class lectures, laboratory activity, group discussions, case studies, guest lectures, research work, project work, assignments (Theoretical and Practical), and written and verbal examinations.

References & Books

Dr. Kumar Saurabh, Cloud Computing
Raj Kumar Buyya, Christian Vecchiola, S. ThamaraiSelvi, Mastering Cloud Computing
Reference Books
David S. Linthicum, Cloud Computing and SOA Convergence in your enterprise
Barrie Sosinsky, Cloud Computing Bible
Saurabh, K. (2011). Cloud Computing — Insights into New -Era Infrastructure, Wiley India.

Course Overview

Unit 1: Introduction to Cloud Computing (6 hrs) 1.1 Overview of Cloud Computing 1.2 Evolution of Cloud Computing 1.3 Characteristics of Cloud Computing 1.4 Types of cloud and its Cloud services 1.5 Benefits and challenges of cloud computing 1.6 Applications cloud computing 1.7 Cloud Storage 1.8 Cloud services requirements, 1.9 cloud and dynamic infrastructure 1.10 Cloud adoption Unit 2: Cloud Computing Architecture (16 hrs) 2.1 Cloud reference model 2.1.1 Platform as service 2.1.2 Software as a service 2.1.3 Infrastructure as service 2.2 Cloud deployment models 2.2.1 Public clouds 2.2.2 Private clouds 2.2.3 Community cloud 2.2.4 Hybrid clouds 2.3 Cloud design and implementation using SOA, 2.4 security, trust and privacy Unit 3: Cloud Virtualization technology (10 hrs) 3.1 Overview of Virtualization techniques 3.2 Types of Virtualizations 3.3 Implementation Levels of Virtualization Structures 3.4 virtualization benefits 3.5 server virtualization 3.6 hypervisor management software 3.7 virtual infrastructure requirements Unit 4: Map Reduce (8 hrs) 4.1 Introduction to parallel computing 4.2 Map-reduce model 4.3 Applications of map reduce 4.4 Parallel efficiency of Map-Reduce 4.5. MapReduce infrastructure Unit 5: Cloud Security (6 hrs) 5.1 Introduction to Security, 5.2 Cloud Security challenges and Risks, 5.3 Software-as-a-Service Security 5.4 Security Monitoring 5.5 Security Architecture Design 5.6 Data Security 5.7 Application Security 5.8 Virtual Machine Security 5.9 Identity Management and Access Control Unit 6: Cloud platforms and applications (12 hrs) 6.1 Web services 6.2 AppEngine 6.3 Azures Platform 6.4 Aneka 6.4 Open challenges 6.5 Scientific applications 6.6 Business and Consumer applications