Cloud Computing

Paper Code: 
MCA 521
Credits: 
04
Periods/week: 
04
Max. Marks: 
100.00
Objective: 

 The course will enable the students to

  1. Define the broad perceptive of cloud architecture, cloud models and service models.
  2. Describe the data center design and architectural design of cloud computing.
  3. Demonstrate the types of virtualization software with the help of various examples.
  4. Differentiate between the leading players in cloud computing and services provided by them.
  5. Evaluate the security services provided in cloud computing in different domains.
  6. Formulate applications of cloud computing for various fields.

 

Course Learning Outcomes (CLOs):

 

Learning Outcome (at course level)

Students will be able to:

Learning and teaching strategies

Assessment Strategies

  1. Define the basics of cloud computing and know the use of cloud computing models in various domains.
  2. Describe the data center design and how data storage is done at cloud
  3. Demonstrate various types of virtualization techniques and hypervisor software for virtualization.
  4. Evaluate the data security techniques and Service Level Agreement implementation.
  5. Formulate cloud computing solutions.

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching, Research Papers

 

Learning activities for the students:

Self-learning assignments, Effective questions, Seminar presentation, Giving tasks

  • Assignment
  • Written test in classroom
  • Classroom activity
  • Multiple choice questions
  • Semester End Examination

 

14.00
Unit I: 
Introduction of Cloud Computing

Nutshell of cloud computing, Enabling Technology, Vision, feature Characteristics and components of Cloud Computing. Challenges, Risks and Approaches of Migration into Cloud. Ethical Issue in Cloud Computing, Evaluating the Cloud's Business Impact and economics, Future of the cloud. Networking Support for Cloud Computing. Ubiquitous Cloud and the Internet of Things

12.00
Unit II: 
Cloud Computing Architecture

Cloud Reference Model, Layer and Types of Clouds, Services models, Data center Design and interconnection Network, Architectural design of Compute and Storage Clouds. Cloud Programming and Software: Features of cloud programming, Parallel and distributed programming paradigms-MapReduce, Hadoop , High level Language for Cloud.

14.00
Unit III: 
Virtualization Technology

Definition, Understanding and Benefits of Virtualization. Implementation Level of Virtualization, Virtualization Structure/Tools and Mechanisms, Hypervisor VMware, KVM, Xen. Virtualization: of CPU, Memory, I/O Devices, Virtual Cluster and Resources Management, Virtualization of Server , Desktop, Network, and Virtualization of data-center

10.00
Unit IV: 
Securing the Cloud

Cloud Information security fundamentals, Cloud security services, Design principles, Policy Implementation, Cloud Computing Security Challenges, Cloud Computing Security Architecture. Legal issues in cloud Computing. Data Security in Cloud:  Risk Mitigation , Understanding and Identification of Threats in Cloud, SLA-Service Level Agreements, Trust Management

10.00
Unit V: 
Cloud Platforms in Industry

Amazon web services, Google AppEngine, Microsoft Azure Design, Aneka: Cloud Application Platform -Integration of Private and Public Clouds Cloud applications: Protein structure prediction, Data Analysis, Satellite Image Processing, CRM and ERP, Social networking. Cloud Application- Scientific Application, Business Application.

ESSENTIAL READINGS: 
  • Distributed and Cloud Computing,  Kai Hawang , GeofreyC.Fox, Jack J. Dongarra Pub: Elservier
  • Cloud Computing ,Principal and Paradigms, Edited By RajkumarBuyya, JemesBroberg, A. Goscinski, Pub.- Wiley
  • Kumar Saurabh, “Cloud Computing” , Wiley Pub
REFERENCES: 
  • Krutz , Vines, “Cloud Security “ , Wiley Pub
  • Velte, “Cloud Computing- A Practical Approach” ,TMH Pub
  • Katarina Stanoevska-Slabeva, Thomas Wozniak, SantiRistol, “Grid and Cloud Computing – A Business Perspective on Technology and Applications”, Springer
Academic Year: 
2019-20
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