CS5224: Cloud Computing – 2014/15 Semester 2

(updated: 7 May 2015)

L00: Overview

· Learning Objective

· What we will cover?

· Course Schedule & Webpage

· Main Text

· Module Assessment

PART A: Principles of Cloud Computing

L01: Introduction [CTA-chapter 3]

· What and Why

· History

· Key Business Drivers

· Basic Concepts & Terminology

· Goals and Benefits

· Technical and Non-Technical Challenges

· Summary

References

1. Above the Clouds: A Berkeley View of Cloud Computing, 2009.

2. The NIST Definition of Cloud Computing, NIST Report, 2011.

L02: Fundamental Concepts and Models [CTA – chapter 4]

· NIST Definition

· Cloud Characteristics

· Cloud Service (Delivery) Models

· Conceptual Reference Architecture

§ Actor Roles and Organizational Boundaries

§ Interactions between the Actors

§ Key Functions of Cloud Providers

· Cloud Deployment Models

· Summary

References

1. NIST Cloud Computing Reference Architecture, NIST Report, 2011.

PART B: Technologies & Applications

L03: Technologies behind Cloud Computing [CTA – chapter 5 and Appendix D]

· Cloud Internetworking and Resource Hosting

· Key Components in a Datacenter

· Virtualization

· Multitenancy

· Summary

1. Chapters 3 & 4, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Second Edition, Synthesis Lectures on Computer Architecture, Luiz André Barroso, Jimmy Clidaras, Urs Hölzle, Morgan & Claypool Publishers, 2013.

L08: IBM Cloud Services

· Objective

· IBM Cloud Platform – Bluemix

§ Overview

§ Target Consumers

§ Technology

· Examples

§ PaaS: Setup a HelloWorld Web Server using Boilerplates

§ SaaS: Data Analytics using dashDB, SQL Query and R

· Summary

1. HelloWorld example:

§ http://thoughtsoncloud.com/2014/07/getting-started-ibm-bluemix-node-js/

§ https://hub.jazz.net/project/phippen/bonjour/overview

2. IBM dashDB: http://www-01.ibm.com/support/knowledgecenter/SS6NHC/com.ibm.swg.im.dashdb.kc.doc/welcome.html

3. SQL Query: http://www.w3schools.com/sql/

4. R Language: http://cran.r-project.org/doc/manuals/r-release/R-intro.html

5. Plotting: http://docs.ggplot2.org/current/

L04: Cloud Architecture [CTA – chapter 11]

· Purpose

· How to organize (partition) resources?

§ Workload Distribution

§ Resource Pooling

§ Dynamic Scalability

§ Elastic Resource Capacity

§ Service Load Balancing

· How to operate/manage resources to meet certain objectives?

§ Cloud Bursting

§ Elastic Disk Provisioning

§ Redundant Storage

· Summary

L05: Applications and Paradigms (TP chapter 4)

· Cloud Applications

• Types of Applications
• Elasticity and Workload
• Challenges in Developing Applications

§ Architectural Styles

§ Coordination of Multiple Activities – Workflow

· Application Development Models

• IaaS, PaaS and SaaS

· MapReduce Programming Model

§ Example: Word Count, GrepTheWeb

· Summary

References

1. Cloud Architectures, Jinesh Varia, Amazon, June 2008 (describes Amazon GrepTheWeb production system).

L06: Cloud Infrastructure [TP - chapter 3]

· Cloud Platforms

§ Amazon Web Services

§ Regions & Availability Zones

§ Instances

§ Examples

§ Google Cloud Platform

• Microsoft Windows Azure
• Open-source Platforms

· Cloud Interoperability and Vendor Lock-in

· Energy use of Data Centers

· Energy-proportional Systems

· Summary

References

1. Architecting for the Cloud: Best Practices, Amazon, 2011.

2. Overview of Amazon Web Services, January 2014.

L09a: K-Means Clustering using Elastic MapReduce

· Objective

· Algorithm

· K-means in MapReduce

· K-means using Amazon Elastic MapReduce

· Summary

· References

L07: Amazon Web Services

· Objectives

· Main EC2 Steps

§ Sign-in Page Credentials

§ Launch Instance

§ Connect to Instance

§ Run Program on Instance Created

§ Close Instance Connection

§ Stop Instance

· Examples

§ Word Count on EC2

§ Word Count on Elastic MapReduce

· Summary

1. http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-launch-instance_linux.html

2. http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-connect-to-instance-linux.html

3. http://wiki.apache.org/hadoop/AmazonEC2?action=recall&rev=10

4. http://wiki.apache.org/hadoop/AmazonEC2

5. http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/emr-get-started-count-words.html

L09b: Building a Video-Sharing SaaS Cloud Application

· Objective

· Design of Application

§ Upload Process

§ Encoding Process

§ Streaming Process

· Performance and Scaling

· Pricing

· Summary

1. How AWS Pricing Works, July 2014.

PART C: Cloud Management

L10: Cost Metrics, Pricing Models, Service Metrics and TCO [CTA chapters 15 & 16]

· Cost Metrics

§ Business

§ Cloud Usage

§ Cost Management

· Pricing Models

· Service Metrics

§ Service Quality

§ Service Availability

§ Service Reliability

§ Service Resiliency

§ Service Level Agreement

· Total Cost of Ownership

· Summary

References

1. How AWS Pricing Works, Amazon, 2012.

2. The Total Cost of (Non) Ownership of Web Applications in the Cloud, Jinesh Varia, August 2012.

3. Chapter 6: Modeling Costs in “The Datacenter as a Computer”, 2013.

L11: Summary and Open Issues

· Revisit of Learning Objective

· Topics Covered

· Open Issues

§ 10 Obstacles and Opportunities

§ Open Issues: 5 Areas

· Our Research

References

1. Cloud Computing Synopsis and Recommendations (Open Issues), NIST Report, May 2012.

2. Challenges and Opportunities with Big Data, Computing Community Consortium, Feb 2012.

Books

1. Cloud Computing: Concepts, Technology and Architecture, Thomas Erl, Zaigham Mahmood and Ricardo Puttini, Prentice-Hall, 2013. [CTA]

2. Cloud Computing: Theory and Practice, Dan C. Marinescu, Elvesier, 2013. [TP]