Cloud Computing - Course Handout

BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE, PILANI

WORK INTEGRATED LEARNING PROGRAMMES

Digital Learning

Part A:  Content Development Plan

Course Title	Cloud Computing
Course No(s)	SS ZG527/ CSI ZG527
Credit Units	5 1-2-2, (total 5 units or credits) ie 1 unit for class room hours, 2 unit for lab hours, 2 units for student preparation. Typically 1 unit translates to 32 hours
Document Version No	V 3
Instructor-In-Charge	Subhrakant Panda

Content Development Team

	Name	email	mobile
Lead Developer	Chandra Shekar RK	Chandrashekar.rk@pilani.bits-pilani.ac.in	9986489685
Co-Developer	Nayan Khare	Nayan.khare@pilani.bits-pilani.ac.in	9886672847

Text Book(s)

T1	Dinkar Sitaram and Geetha Manjunath. Moving to the Cloud. Syngress (Elsevier) Pub, 2011
T2	Rajkumar Buyya, James Broburg & Anderzej M.G, Cloud Computing – Principles and Paradigms. John Wiley Pub, 2011

Reference Book(s) & other resources

R1	Cloud Computing bible by Barrie Sosinsky, Wiley Publishers, 2010
R2	Virtualization A Beginner’s guide, Danielle Ruest, Nelson Ruest, TMH, 2009
R3	Cloud security, a comprehensive guide to secure cloud computing, by Ronald L.Krutz et al, Wiley Publishers, 2010

Documentation on Labwork

1.      Software(s) or Tool(s) required: Virtual Box, KVM on Ubuntu, Hyper V, Openstack, AWS, Salesforce, Proxmox or ConVirt, Hadoop Harton Sandbox

2.      Dependencies/Pre-requistes (OS, SDK, other framework, etc)

3.      System Requirements: Any System with Processor better or equal to i3 intel. Min 4GB RAM (Recommended 8GB or more)

4.      Download url:

https://www.virtualbox.org/wiki/Downloads

www.devstack.org

https://aws.amazon.com/console/

https://www.proxmox.com/en/proxmox-ve

https://www.convirture.com/products_opensource.php

http://hortonworks.com/products/hortonworks-sandbox/

5.      Capabilities of tool: NA

6.      Mode of working (GUI based- Stand alone installer/ Client Server / Console based/ Browser based): All types

7.      Open source/ Freeware/ Proprietary: Opensource/Freeware

8.      If Proprietary, any open source or freeware alternative available If yes, provide details (Limitations) : NA

9.      Any Other Remarks

10.   Objective behind Labwork in this course: Understand and have hands on knowledge on technologies related to Cloud computing

Glossary of Terms

Module	M	Module is a standalone quantum of designed content. A typical course is delivered using a string of modules. M2 means module 2.
Recorded Lecture	RL	A recorded lecture will consist of a sequence of topic recordings (typically less 10 minutes each). There will be assessments between topic recordings to allow the learner test his/her understanding of video material previously viewed. RL2.1 = Recorded Lecture 1 in module 2. RL2.2.3 = Third topic recording in recorded lecture RL2.1
Contact session sub-module/topics	CS	Contact session topics refers to topics in form of concepts, discussions items, problems which will be taken up by the course instructor during the contact hours. A contact hours is built by stringing a bunch of contact session topics. CS3.2 = Contact session sub-module  2 associated with module 3 CS3.2.1 = Contact session topic 1 associated with contact session sub-module 2 within module 3
Lab Exercises	LE	Lab exercises associated with various modules
Self-Study	SS	Specific content assigned for self study
Homework	HW	Specific problems/design/lab exercises assigned as homework

Modular Structure

Module Summary

No	Title of the Module
M1	Introduction to Cloud Computing ●     Cloud Computing, services, deployment models
M2	Virtualization Techniques and Types Dockers
M3	Infrastructure as a Service Managing Virtual Resources on the Cloud
M4	Platform as a Service
M5	Software as a Service
M6	Capacity management and Scheduling in cloud computing
M7	Issues and Challenges : Availability, Multi-Tenancy, Security and SLA
M8	Distributed File System (DFS) and Hadoop

Detailed Structure

Video: Introduction to the course.

M1: Introduction to Cloud Computing
Type	Title	Description
RL1.1	Cloud Computing, services, deployment models	Motivation Evolution of Web Technology Advances What is Cloud Computing? Drivers for the new Platform Cloud Summary
RL1.2	3-4-5 Rule of CC	Cloud Computing: Definition 3-4-5 rule of Cloud Computing 5-Characteristics of Cloud Computing 4-Deployment Models
RL1.3	3-4-5 Rule of CC Cloud Providers	3 Cloud Service Models Software as a Service (SaaS) Platform as a Service Infrastructure as a Service Cloud Infrastructures Cloud Providers Characteristics Management of Virtualized Resources Cloud OS
CS1.1	Cloud Computing, services	Introduction to Cloud Computing Origins and Motivation
CS 1.2	Deployment models	Types of Clouds and Services Cloud Infrastructure and Deployment
LE1.1
SS1.1		Merits and Demerits of CC
HW1.1		Make a list of Public, Private, Hybrid clouds available in the IT space
QZ1.1
M2: Virtualization Techniques and Types Dockers
Type	Title	Description
RL2.1	Virtualization	Importance of Virtualization in Cloud Computing What is Virtualization What does Virtualization do? Changes after Virtualization Virtualization Architecture
RL2.2	Hypervisor	Hypervisor Hypervisor Design Goals How Hypervisor goals are achieved? Monolithic versus Microkernelized CPU Sharing Memory Sharing IO Sharing
RL2.3	Types of Virtualization	Approaches for Virtualization Full Virtualization ParaVirtualization SKI Virtualization x86 Hardware Virtualization Advantages of Virtualization Issues to be aware of Virtualization Applications of Virtualization
RL2.4	SW Virtualization	Dockers How are Docker Containers different from a Virtual Machine? Docker Container Lifecycle Dockerfile
RL_2_5	Lab Demo	Check Virtualization Support
RL_2_6	Lab Demo	Oracle Virtual Box
RL_2_7	Lab Demo	Hyper-V
CS2.1	Virtualization Types	Types of Virtualization Advantages of Virtualization Issues to be aware of Virtualization
CS2.2	Managing Virtual Resources on the Cloud	Manage the resources for the SaaS, PaaS and IaaS models Dockers
LE2.1		Go through RL 2.5, 2.6, 2.7
SS2.1		Study: KVM, Xen, Hyper-V, VirtualBox
HW2.1		Exercise on Docker Container
QZ2.1
M3: Infrastructure as a Service Managing Virtual Resources on the Cloud
Type	Title	Description
RL3.1	IaaS	Key concepts of IaaS Two primary facets that make IaaS special The value of IaaS
RL3.2	AWS	Amazon Web Services AWS infrastructure services Amazon Elastic Compute Cloud (Amazon EC2) Infrastructure Services
RL3.3	Openstack - CaseStudy	Openstack overview Openstack Components Nova, Swift, Horizon, Keystone, Cinder, Neutron, Glance Conceptual Architecture
RL3.4	Virtual Machine Provisioning	Virtual Machine Provisioning and Manageability Life Cycle VM Provisioning Process VM Provisioning using templates Examples - Vagrant, Heat(Orchestration Tool of openstack)
RL3.5	Virtual Machine Migration	Virtual Machine Migration Services Cold/regular migration Live Migration Technique Live Migration Demo
RL3.6	Lab Demo	AWS-InstanceCreation
RL3.7	Lab Demo	AWS-S3-ObjStorage
RL3.8	Lab Demo	OS-Openstack-Install-Setup
RL3.9	Lab Demo	OS-InstanceCreation
RL3.10	Lab Demo	OS-InstanceCreateWithVol
RL3.11	Lab Demo	OS-Swift-ObjStorage
RL3.12	Lab Demo	OS-LoadBalancer-Manual
RL3.13	Lab Demo	OS-InstanceCreate-Heat-Provision
RL 3.14	Lab Demo	OS-LoadBalancer-Heat-Provision
RL3.15	Lab Demo	Vagrant-Provision-WebServer
RL3.16	Lab Demo	Part1-Proxmox-Cluster-Provision-Migration
RL3.17	Lab Demo	Part2-Proxmox-Cluster-Provision-Migration
CS 3.1	Infrastructure as a Service	Introduction to IaaS IaaS examples  Reference Model of AWS Region Vs Availability zones
CS 3.2	AWS - Storage and Database Services	Amazon S3, Amazon Glacier, Amazon EBS, AWS Import/Export Amazon RDS, Amazon DynamoDB, Amazon AWS Demo
CS 3.3	Openstack	Openstack overview and Components
CS 3.4	VM Provisioning and Migration	Virtual Machine Provisioning Process VM Provisioning using templates, Examples - Vagrant VM Migrations Techniques
LE3.1		Install Openstack and carry out exercise on RL 3.9-3.17
SS3.1		RL 3.6 - 3.17, Try using Openstack - http://trystack.org/
HW3.1		Compare Openstack vs AWS (Similarities and Differences)
QZ3.1
M4: Platform as a Service
Type	Title	Description
RL4.1		Dependency on IaaS and PaaS Introduction to PaaS Building blocks of PaaS Characteristics of PAAS Advantages and Risks
RL4.2		Paas Example: Windows Azure Windows Azure Runtime Environment Paas Vendors
RL4.3	Lab Demo	Get Azure Account
RL4.4	Lab Demo	Running Azure app locally
RL4.5	Lab Demo	Deploying the local app to Azure
RL4.6	Lab Demo	Determine which instance gets serves the request
CS4.1	Intro to PaaS	Introduction to PaaS PaaS examples 5 Principles of UI Design - AWS PaaS
CS4.2	Google App Engine	Introduction Google app engine Google app engine demo
LE4.1		Try exercise on SS 4.1
SS4.1		RL 4.5, 4.6
HW4.1
QZ4.1
M5: Software as a Service
Type	Title	Description
RL5.1	Introduction to SaaS	Dependency on IaaS and PaaS What is SaaS? Problems in traditional Model SaaS – How is it delivered
RL5.2	SaaS – Architecture	SaaS – Architecture SaaS Models Business Model comparisons
RL5.3	SaaS Advantages	SaaS Advantages SaaS User and Vendor Benefits (CS) SaaS - Applicability
RL 5.4	Lab Demo	Developing website using Salesforce
CS5.1	Introduction to SaaS	Introduction to SaaS Pros and Cons of SaaS model Applications of SaaS
CS5.2	SaaS	Traditional packaged Software Vs SaaS Examples of SaaS Case study
LE5.1		Try exercise on SaaS
SS5.1		RL 5.4
HW5.1
QZ5.1
M6: Capacity management and Scheduling in cloud computing
Type	Title	Description
RL 6.1	Capacity Management and Scheduling	Managing Cloud - Introduction
RL 6.2	VIM	Why a Virtual Infrastructure Manager? Extending the Benefits of Virtualization to Clusters Virtual Machine Management Model
RL 6.3	OpenNebula	What is OpenNebula? The Benefits of OpenNebula Interoperability from the Cloud Provider perspective The Benefits for System Integrators (CS) The main features of OpenNebula Comparison with Other technologies (CS)
RL 6.4	OpenNebula	OpenNebula Architecture Process separation Constructing/Management of a private cloud System Overview Complex Storage behind OpenNebula Networking for private clouds Users Management(CS) Preparing VMs for OpenNebula VM Description VM States overview Hybrid cloud Making an Amazon EC2 hybrid
CS 6.1	Capacity Management	Capacity management Distributed management of virtual machines
CS 6.2	Scheduling	Reservation-based provisioning of virtualized resource Provisioning to meet SLA commitments
LE 6.1
SS 6.1		Documentation of OpenNebula
HW 6.1		Install OpenNebula, Create instances and cluster
QZ 6.1
M7: Issues and Challenges : Availability, Multi-Tenancy, Security and SLA
Type	Title	Description
RL 7.1	Availability	High Availability Key aspects of SLA
RL 7.2	Multi-Tenancy	Multitenancy – What is it? Pros and Cons Traditional Deployment Model Multitenancy – Introduction Multi-tenants Deployment Modes for Application Server Multi-tenants Deployment Modes in Data Centers
RL 7.3	Security	Introduction to cloud security Cloud Security Issues Loss of Control in the Cloud Multi-tenancy Issues in the Cloud Taxonomy of Fear Threat Model
CS 7.1	Multi-Tenancy	Multi-Tenancy 4 levels of multi tenancy Top 5 cloud security threats
CS 7.2	Security and SLA	who is responsible for managing security Service License Agreements: Lifecycle and Management Traditional approaches to SLO management Automated Policy based management Managing Clouds: Services and Infrastructure
LE 7.1
SS 7.1		Study - NimSoft, Netchart
HW 7.1
QZ 7.1
M8: Distributed File System (DFS) and Hadoop
Type	Title	Description
RL 8.1	Hadoop	Why Hadoop? Introduction to BIG DATA Hadoop Features Hadoop Framework Tools
RL 8.2	Hadoop	Hadoop common Component MapReduce (Data Processing Framework) MapReduce Processing flow Architecture Overview Distributed Word Count Word Count Execution MarketRatings example and Program demo MapReduce Execution Details Fault Tolerance in MapReduce Challenges of Cloud Environment
RL 8.3	Lab Demo	HadoopMapReduce-MarketRating
RL 8.4	Lab Demo	WordCountingwithApachePig
CS 8.1	DFS	Introduction to Distributed File System Case Study GFS Case Study HDFS
CS 8.2	Hadoop	Hadoop components and importance of MapReduce MapReduce Facts
LE 8.1		Install Hadoop and Carry out exercise on Word count and Market ratings
SS 8.1		Study - Hive, PIG, HBase of Hadoop
HW 8.1
QZ 8.1

Part B: Course Handout

Recommended Structure by Content Development Team

Academic Term	First Semester 2017 – 2018
Course Title	Cloud Computing
Course No	SS ZG527 / CSI ZG527
Lead Instructor	Subhrakant Panda

There are 22 contact hours; 12 before mid-semester and 10 post mid-semester. The 11th  &12th  contact hour is pre-mid sem review while 21st & 22nd contact hour is pre-comprehensive review

In the tabular cells quote appropriate legends from the modular structure table.

Contact hour	Pre-contact hour prep	During Contact hour	Post-contact hour
1	RL 1.1	CS 1.1	SS 1.1
2	RL 1.2, 1.3	CS 1.2	HW 1.1
3	RL 2.1, 2.2	CS 2.1	SS 2.1, RL 2.5, 2.6, 2.7
4	RL 2.3, 2.4	CS 2.2	HW 2.1, LE 2.1
5	RL 3.1, RL 3.2	CS 3.1	RL 3.8, SS 3.1
6	RL 3.3	CS 3.2	RL 3.6, 3.7
7	RL 3.4	CS 3.3	RL 3.9 - 3.15
8	RL 3.5	CS 3.4	RL 3.16 , 3.17 LE 3.1
9	RL 4.1	CS 4.1	RL 4.3, 4.4 SS 4.1
10	RL 4.2	CS 4.2	RL 4.5, 4.6 LE 4.1
11	Review	Review	Review
12	Review	Review	Review
13	RL 5.1, 5.2	CS 5.1	SS 5.1
14	RL 5.3	CS 5.2	RL 5.4, LE 5.1
15	RL 6.1, 6.2	CS 6.1	SS 6.1
16	RL 6.3, 6.4	CS 6.2	HW 6.1
17	RL 7.1, 7.2	CS 7.1
18	RL 7.3	CS 7.2	SS 7.1
19	RL 8.1	CS 8.1	SS 8.1
20	RL 8.2	CS 8.2	RL 8.3, 8.4, LE 8.1
21	Review	Review	Review
22	Review	Review	Review

Detailed Plan for Lab work/Design work   

Lab No	Lab Objective	Lab Sheet Access URL	Content Reference
1	Check Virtualization Support in the linux and windows based machine Oracle Virtual Box Hyper-V support		M2
2	AWS-InstanceCreation AWS-S3-ObjStorage OS-Openstack-Install-Setup OS-Normal Instance Creation OS-Instance Create With Volume OS-Swift-Object Storage		M3
3	OS-Create Load Balancer-Manual OS-Create Instance Create-Heat-Provision OS-Load Balancer-Heat-Provision Vagrant-Provision-Web Server Part1-Proxmox-Cluster-Provision-Migration Part2-Proxmox-Cluster-Provision-Migration		M3
4	Running Azure app locally Deploying the local app to Azure Determine which instance gets serves the request		M4
5	Developing website using Salesforce		M5
6	Install OpenNebula, Create instances and cluster		M6
7	Study - NimSoft, Netchart		M7
8	Hadoop Map Reduce-Market Rating Java example Word Counting with Apache Pig on Hartons Hadoop Sandbox Environment		M8

Evaluation Scheme:  

Legend: EC = Evaluation Component; AN = After Noon Session; FN = Fore Noon Session

No	Name	Type	Duration	Weight	Day, Date, Session, Time
EC-1	Quiz-I/ Assignment-I	Online	-	5%	August 26 to September 4, 2017
	Quiz-II	Online	-	5%	September 26 to October 4, 2017
	Quiz-III/ Assignment-II	Online	-	5%	October 20-30, 2017
	Lab	Online	-	10%	October 20-30, 2017
EC-2	Mid-Semester Test	Closed Book	2 hours	30%	23/09/2017 (AN) 2 PM TO 4 PM
EC-3	Comprehensive Exam	Open Book	3 hours	45%	04/11/2017 (AN) 2 PM TO 5 PM

Syllabus for Mid-Semester Test (Closed Book): Topics in Session Nos. 1 to 10

Syllabus for Comprehensive Exam (Open Book): All topics (Session Nos. 1 to 20)

Important links and information:

Elearn portal: https://elearn.bits-pilani.ac.in

Students are expected to visit the Elearn portal on a regular basis and stay up to date with the latest announcements and deadlines.

Contact sessions: Students should attend the online lectures as per the schedule provided on the Elearn portal.

Evaluation Guidelines:

1.      EC-1 consists of three Quizzes. Students will attempt them through the course pages on the Elearn portal. Announcements will be made on the portal, in a timely manner.

2.      For Closed Book tests: No books or reference material of any kind will be permitted.

3.      For Open Book exams: Use of books and any printed / written reference material (filed or bound) is permitted. However, loose sheets of paper will not be allowed. Use of calculators is permitted in all exams. Laptops/Mobiles of any kind are not allowed. Exchange of any material is not allowed.

4.      If a student is unable to appear for the Regular Test/Exam due to genuine exigencies, the student should follow the procedure to apply for the Make-Up Test/Exam which will be made available on the Elearn portal. The Make-Up Test/Exam will be conducted only at selected exam centres on the dates to be announced later.

It shall be the responsibility of the individual student to be regular in maintaining the self study schedule as given in the course handout, attend the online lectures, and take all the prescribed evaluation components such as Assignment/Quiz, Mid-Semester Test and Comprehensive Exam according to the evaluation scheme provided in the handout.