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PGDDA 101: CLOUD COMPUTING

 

Course Objectives:

1)   To learn how to use Cloud Services.

2) To implement Virtualization.

3)  To design a private cloud.

4)To study various applications involving Big Data.

 

                                                      Section-A

Overview of Computing Paradigm- Recent trends in Computing: Grid Computing, Cluster Computing, Distributed Computing, Utility Computing, Cloud computing; Evolution of cloud computing, Business driver for adopting cloud computing.

Cloud Computing Architecture- Standard cloud model, NIST cloud computing reference architecture, Cloud deployment models, Choosing the appropriate deployment model.

Service Management in Cloud Computing: Service Delivery Models, Service Abstraction, The SPI Model, A traditional system vs Cloud system model, SAAS and PAAS: Salesforece.com and Force.com, Other Category of Cloud Services.

 

                                                     Section-B

Cloud Security- The Security Concern in Cloud, Cloud Security Working Groups, Elements of cloud security model, Examining Cloud Security against traditional computing, Security policy.

 

Introduction to Big Data-Big Data and its importance, Characteristics of Big Data, Domain specific examples of Big Data, Analytics Flow for Big Data.

 

                                                  Section-C

Introduction to Hadoop: Hadoop as a Solution, Features of Hadoop, Hadoop Core Components, Hadoop Ecosystem. 

NoSQL- What is it, Where It is Used, Why NoSQL, Advantages of NoSQL, SQL vs NoSQL, NoSQL databases.

 

Recommended Books

1.         Cloud Computing Bible, Barrie Sosinsky, Wiley-India, 2010

2.         Cloud Computing: Principles and Paradigms, Editors: Rajkumar Buyya, James Broberg, Andrzej M. Goscinski, Wiley, 2011

3.         Cloud Computing: Principles, Systems and Applications, Editors: Nikos Antonopoulos, Lee Gillam, Springer, 2012

4.         Cloud Security: A Comprehensive Guide to Secure Cloud Computing, Ronald L. Krutz, Russell Dean Vines, Wiley-India, 2010

5.         Boris lublinsky, Kevin t. Smith, AlexeyYakubovich, “Professional Hadoop Solutions”, Wiley, ISBN: 9788126551071, 2015.

6.           Chris Eaton,Dirk derooset al. , “Understanding Big data ”, McGraw Hill, 2012

7.           Big Data and Analytics , Sima Acharya, Subhashini Chhellappan, Wiley.

 


Self enrolment (Student)
Self enrolment (Student)