This course provides an introduction into the technologies behind cloud computing. A combination of lectures and hands-on programming assignment and term project expose the student to the leading cloud computing paradigms (e.g., Amazon EC2, Hadoop MapReduce, Spark). The lecture part will provide an overview of the underlying clustering technologies that make cloud computing possible (e.g., cluster networking, virtual machines). The students will complete a simple assignment using Amazon EC2 individually and a term project performed in groups of 3-4 students. In the term project, the students will build a private Cloud on a PC cluster with at least 3 machines and participate in the design, assembling, configuring, and benchmarking of the private cloud system. The software stack will include Linux, Xen, Ganglia, and Hadoop. Each group is required to do a live demo and a 5-minute presentation at the end of the semester.
Special Note: The maximum class size is limited to 70 students due to the limited resources.
| Course Learning Outcomes | Relevant Programme Learning Outcome |
| CLO1. Able to master the key technologies about the Cluster and Cloud Computing, and be able to contrast similar technologies. | PLO.4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16 |
| CLO2. Able to self-learn the latest Cloud Computing technologies and build their own Cloud system on a PC cluster. | PLO.3, 6, 7, 8, 9, 10, 11, 12 |
| View Programme Learning Outcomes | |
| Course Content | No. of Hours | Course Learning Outcomes |
| 1. From Cluster to Cloud | 3 | CLO1 |
| 2. Introduction of Cloud Computing (SaaS, PaaS, and IaaS) | 3 | CLO1 |
| 3. Amazon EC2/S3 (workshop) | 3 | CLO1 & COL2 |
| 4. MapReduce and Hadoop | 3 | CLO1 |
| 5. Virtual Machines and CPU Virtualization | 3 | CLO1 |
| 6. Xen and Hadoop Installation (workshop) | 3 | CLO1 & COL2 |
| 7. Memory and Network Virtualization Techniques | 3 | CLO1 |
| 8. Cluster Networking (ARP, DHCP, NAT) | 3 | CLO1 |
| 9. Apache Big Data Stack (Spark) | 3 | CLO1 |
| 10. Data Center Networking: Software Defined Network | 3 | CLO1 |
| Description | Type | Weighting * | Examination Period ^ | Course Learning Outcomes |
| Port a simple Java application on a public Cloud (Amazon EC2) | Continuous Assessment | 15% | - | CLO2 |
| Build a real Cloud system using Xen and Hadoop on a PC cluster and develop applications using MapReduce programming model. | Continuous Assessment | 35% | - | CLO2 |
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Written exam covers all taught content in the course. |
Written Examination | 50% | May 7 to 26, 2018 | CLO1 |
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* The weighting of coursework and
examination marks is subject to approval
^ The exact examination date uses to be released when all enrolments are confirmed after add/drop period by the Examinations Office. Students must oblige to the examination schedule. Students should NOT enrol in the course if they are not certain that they will be in Hong Kong during the examination period. Absent from examination may result in failure in the course. There is no supplementary examination for all MSc curriculums in the Faculty of Engineering. For reference:
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- Distributed and Cloud Computing: From Parallel Processing to the Internet of Things, by Kai Hwang, Jack Dongarra & Geoffrey C. Fox, Morgan Kaufmann
| Date | Time | Venue | Remark | |
| Session 1 | 17 Jan 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 2 | 24 Jan 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 3 | 31 Jan 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 4 | 7 Feb 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 5 | 28 Feb 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 6 | 14 Mar 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 7 | 21 Mar 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 8 | 28 Mar 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 9 | 4 Apr 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| Session 10 | 11 Apr 2018 (Wed) | 2:30pm - 5:30pm | CPD-LG34 | |
| CPD - Central Podium Levels (Centennial Campus) | ||||