This page contains Syllabus of Cloud Computing of CSIT.

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Cloud Computing

Course

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Title Cloud Computing
Short Name
Course code CSC458
Nature of course Theory + Lab
Semester eighth-semester
Full marks 60 + 20 + 20
Pass marks 24 + 8 + 8
Credit Hrs 3
Elective/Compulsary Elective

Course Description

Course synopsis: This course gives an introduction to cloud computing and its techniques. The topics covered include; introduction to cloud computing, cloud architecture, cloud service models, Service Oriented Architectures, security in cloud computing, disaster management in clouds.


Goal: Cloud computing has become a great solution for providing a flexible, on-demand, and dynamically scalable computing infrastructure for many applications. Cloud computing also presents a significant technology trends, and it is already obvious that it is reshaping information technology processes and the IT mark


Units and Unit Content

1. Introduction
teaching hours: 10 hrs

Defining the Cloud, The Emergence of Cloud Computing, Cloud-Based Services, Grid Computing or Cloud Computing,  Components of Cloud Computing, Cloud Computing Deployment Models: Public, Private, Hybrid, Benefits of Using a Cloud Model, Legal Issues in Using Cloud Models, Characteristics of Cloud Computing, Evolution of Cloud Computing, Challenges for the Cloud computing, Grid Computing, Distributed Computing in Grid and Cloud.

2. Cloud Service Models
teaching hours: 15 hrs

Communication-as-a-Service (CaaS): Advantages of CaaS, Fully Integrated, Enterprise-Class Unified Communications,  Infrastructure-as-a-Service (IaaS): Modern On-Demand Computing, Amazon’s Elastic Cloud, Amazon EC2 Service Characteristics, Monitoring-as-a-Service (MaaS), Protection Against Internal and External Threats, Platform-as-a-Service (PaaS): The Traditional On-Premises Model, The New Cloud Model, Key Characteristics of PaaS, Software-as-a-Service (SaaS): SaaS Implementation Issues, Key Characteristics of SaaS, Benefits of the SaaS Model, Jericho Cloud Cube Model

3. Building Cloud Networks
teaching hours: 9 hrs

Evolution from Managed service providers (MSP) to Cloud Computing, Single Purpose architectures to multi-purpose  architectures, Data center virtualization, Cloud data center, Service Oriented Architectures (SOA), Combining and SOA, Characterizing SOA, Open Source Software in data centers

5. Security in Cloud Computing
teaching hours: 11 hrs

Cloud Security Challenges, Software-as-a-Service Security: Security management, Risk Management, Security Monitoring and Incident Response, Security Architecture Design, Vulnerability Assessment, Data Privacy and Security, Application Security, Virtual Machine Security, disaster Recovery, Disasters in cloud, Disaster management


Lab and Practical works

Laboratory work:


As a part of lab work, the students are highly encouraged

  • To simulate the concept of virtualization using virtualization programs/systems.
  • To understand and practice examples of cloud services and applications.
  • To understand and implement distributed storage and security issues in cloud computing.