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Virtualization and Cloud Computing Syllabus for Final B.Tech Computer Science and Engineering students

Subject Name: Virtualization and Cloud Computing
Total credits: 4                                                                                                                                                                                                                    Contact Hours: 36
Chapters	Chapter Name	Content	Hours
Chapter 1	Introduction to Cloud Computing	Eras of Computing, The Vision of Cloud Computing, Defining a cloud, A Closer Look, Cloud computing Reference Model, Historical developments: Distributed Systems; Virtualization; Web 2.0;Service Oriented Computing; Utility Oriented Computing	5
Chapter 2	Virtualization	Introduction, Characteristics of virtualized Environments, Taxonomy of Virtualization techniques, Virtualization and Cloud computing, Pros and Cons of virtualization, Technology Examples: Xen:Para virtualization, VmWare : Full Virtualization, Microsoft Hyper-V.	7
Chapter 3	Cloud Computing Architecture	Introduction, Cloud reference Model: Architecture, IaaS, PaaS, SaaS. Types of Clouds: Public, Private, Hybrid and Community Clouds, Economics of the Cloud, Open Challenges	4
Chapter 4	Aneka: Cloud Application Platform	Framework Overview, Anatomy of Aneka Container:Platform Abstraction Layer;Fabric Services;Foundation Services;Application Services, Building Aneka Clouds:Infrastructure Organization;Logical Organization;Private Deployment Mode;Public Cloud Deployment Mode; Hybrid Deployment Mode, Cloud Programming and Management	6
Chapter 5	Aneka Programming Models	Concurrent Programming-Thread Programming: Programming applications with Threads;Multithreading with Aneka;Programming Applications with Aneka, High Throughput computing- Task Programming : Task computing;Task Based Application Models; Aneka task-based Programming, Data Intensive Computing- Map Reduce Progarmming : Aneka Map Reduce Programming	8
Chapter 6	Cloud Applications and Advanced Topics in Cloud Computing	Scientfic applications: Health Care;Biology;Geo Science, Business And Consumer Applications:CRM & ERP;Productivity;Social Networking;Media Applications;Multiplayer Online Gaming, Energy Effciency in clouds, Market Based Management of clouds, Federated Clouds/Inter Cloud.	6
		Total Hours	36

Course Description:       The course introduces the fundamental principles of Cloud computing and its related concepts. It elaborates virtualization technologies along with the architectural models of cloud computing.It presents prominent Cloud Computing Technologies available in the market place, and contains dedicated chapters on concurrent, high throughput and data intensive computing paradigms.Broadly presents about Aneka Platform, its programming models and deployment models. Various Application case studies from domains such as science, engineering , gaming, and social networking are introduced along with their architecture and how they make use of various Cloud technologies. 

Course Learning Outcomes: 
After completion of this course student should be able to:            
1) Understand the Fundmental concepts of cloud Computing and its architecture.
2) Describe core concepts of virtualization and its relation to clouds.                      
3) Demonstrate the Cloud deployment models using Aneka and its programming models.             
4) Apply the concurrent, high throughput and data intensive computing paradigms in real life scenarios.
5) Develop an applications in science, engineering and life science problems using Aneka programming models.      

6) Analyze the use cloud computing in different domains and future research.         
Text Book:  

Rajkumar Buyya, Christian Vecchiola, and Thamarai Selvi, Mastering Cloud Computing, Tata McGraw Hill, New Delhi, India, 2013.