CLOUD COMPUTING

Paper Code: 
MCA 224
Credits: 
04
Periods/week: 
04
Max. Marks: 
100.00
Objective: 

The course enables the students to

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

 

Course Outcomes(COs):

Learning Outcome (at course level)

 

Learning and teaching strategies

Assessment Strategies

CO63.Detect the use of cloud computing models in various domains.

CO64.Demonstrate various types of virtualization techniques and hypervisor software for virtualization.

CO65.Evaluate the data security techniques and Service Level Agreement implementation.

CO66.Formulate cloud   computing solutions          using    various cloud platforms.

CO67.Examine    the        cloud             security mechanisms.

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. , Layer and Types of Clouds, Services models, Cloud Reference Model.

 

12.00
Unit II: 
Cloud Computing Architecture:

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. Service Oriented Architecture – REST and Systems of Systems – Web Services – Publish Subscribe Model

 

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: 
  • Cloud Computing ,Principle and Paradigms, Edited By RajkumarBuyya, JemesBroberg, A. Goscinski, Pub.- Wiley-2016
  • Kumar Saurabh, “Cloud Computing” , Wiley Pub 2016
  • Distributed and Cloud Computing,  Kai Hawang , GeofreyC.Fox, Jack J. Dongarra Pub: Elservier, 2013
REFERENCES: 
  • Krutz , Vines, “Cloud Security “ , Wiley Pub,2010
  • Velte, “Cloud Computing- A Practical Approach” ,TMH Pub,2009
  • Katarina Stanoevska-Slabeva, Thomas Wozniak, SantiRistol, “Grid and Cloud Computing – A Business Perspective on Technology and Applications”, Springer,2010

 

Academic Year: 
2021-22
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