CS5224: Cloud ComputingAY2017/18 – Semester 2

Teo Yong MengRoom: Com2, #04‐39

Department of Computer ScienceNational University of SingaporeEmail: teoym@comp.nus.edu.sg

URL: www.comp.nus.edu.sg/~teoymTel: 6516 2830

My InterestsResearch: modelling (simulation and performance modelling),

parallel computing (cloud, edge)

Teach: Parallel Computing, Cloud Computing,Computer Systems Performance Analysis, …

Best Paper Awards1. L. Birdsey, C. Szabo and Y.M. Teo, Twitter Knows: Understanding the Emergence

of Topics in Social Networks, Proc of Winter Simulation Conference, IEEEComputer Society Press, US, Dec 6‐9, 2015. [WSC 2015 Best Paper Award]

2. M. Mihailescu and Y.M. Teo, Strategic‐Proof Dynamic Resource Pricing ofMultiple Resource Types on Federated Clouds, Proc of 10th InternationalConference on Algorithms and Architectures for Parallel Processing, Busan, Korea,May 21‐23, 2010. [Best Paper Award]

3. C. Szabo, Y.M. Teo and S. See, A Time‐based Formalism for the Validation ofSemantic Composability, Proc of the Winter Simulation Conference, pp 1411‐1422, IEEE Computer Society Press, Austin, Texas, USA, December 13‐16, 2009.[ACM SIGSIM Best PhD Student Paper Award]

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Cloud Computing

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Learning Objectives

1. Explains and discusses fundamental aspects ofcloud computing concepts, models, technologiesand applications

2. Hands‐on: IBM Bluemix and Amazon Web Serviceswith examples in developing applications using IaaS,PaaS and SaaS

3. Develop business case for adopting cloudcomputing

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Learning Objectives

1. Explains and discusses fundamental aspects ofcloud computing concepts, models, technologiesand applications

2. Hands‐on: IBM Bluemix and Amazon Web Serviceswith examples in developing applications using IaaS,PaaS and SaaS

3. Develop business case for adopting cloudcomputing

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Class with varied knowledge

Introductory module

Teaching mode: lectures, hands‐on + visit to datacenter, assignments

Business case – putting all you have learnt together

What will we cover?

A. PRINCIPLES OF CLOUD COMPUTINGL01: IntroductionL02: Concepts & Models

B. TECHNOLOGIES, PROGRAMMING AND APPLICATIONSL03: Technologies behind Cloud ComputingL04: Cloud ArchitectureL05: Applications & ParadigmsL06: Cloud InfrastructureH01: IBM Cloud Services (PaaS, SaaS) [hands‐on]H02: Amazon Web Services (IaaS, PaaS, SaaS) [hands‐on]L07: K‐means Clustering using Elastic MapReduce (IaaS, PaaS)L08: Building a Video‐Sharing SaaS Cloud Application

C. CLOUD MANAGEMENTL09: Cost Metrics, Service Quality Metrics, SLAs and TCO

L10: Cloud‐enabled Data Analytics

D. SUMMARY & CONCLUSIONL11: Summary and Open Issues

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Course Schedule & Webpage

• Lecture: Tue 6.30‐8.30pm, SR2

• Tutor: Sunimal Rathnayake (Com 2, #B1‐01)

• Consultation:– Wed 2‐3pm (Yong Meng)– tba (Sunimal)

• Webpage:– IVLE for course announcement– www.comp.nus.edu.sg/~teoym/cs5224‐18  for lecture slides, assignments, etc.

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Main Text

• Cloud Computing: Concepts, Technology & Architecture, Thomas Erl, et al., Prentice‐Hall, 2013, 2 copies at RBR in Central Library. [chapters 3, 4, 5, 11, 15 & 16]

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CS5224 (2016)

Available at NUS Co-op @ Forum !!

Cloud Computing: Concepts, Technology & Architecture, 1/e

Author : PAPADIMITRIOU

Publisher : Pearson

ISBN : 9780133387520

Module Assessment

• No Exam

• Quiz (closed book): 20%

• Test (closed book): 30%

• Assignment 1 (individual): 20%

• Assignment 2 (team): 30%

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