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Description

This is a graduate-level course in cloud computing. Topics to be discussed include:

• Computing as a Utility ; Cloud Economics ;
• Data Center Architecture ;
• Cloud Service Models (e.g., IaaS, PaaS, SaaS) ;
• Case studies of major Cloud Providers, e.g. Amazon Web Services (AWS), Microsoft Windows Azure
• Overview of additional Data Center Services (e.g. Distributed File Systems, Memcached, Dynamo, BigTable, Chubby, Zookeeper)
• Distributed and Parallel data-processing/programming models and platforms (e.g. MapReduce, Hadoop, GFS/HDFS, GraphLab, SPARK, Stream-based processing with STORM);
• Concurrency and Replication Consistency in Clouds (Locks and Transactions, CAP Theorem, ACID vs. BASE, Consensus management - Paxos and Zookeeper);
• High-level Cloud Languages and Cloud-based Databases (PIG, HIVE, Conventional database management systems vs. NoSQL Data-stores in practice: BigTable, HBASE, Cassandra );
• Case studies of real-world Cloud-based Services, e.g. Netflix, Storage management in Facebook
• Data Center Management platform (e.g. OpenStack)
• Cloud Service Security and Privacy ;
• Virtualization Technologies (e.g. Xen, VMware) if time permits ;

Course Information

Lecture time:

• THUR 7:00pm - 10:00pm

Venue:

• 1/F, Hong Kong Productivity Council Building, 78 Tat Chee Avenue, Kowloon, Hong Kong

• Wu Ho Man Yuen Building, The Chinese University of Hong Kong (Only for Oct 9)

Lab Workshop/Tutorial:

• To be scheduled

Instructor:

• Prof. Wing Cheong Lau. wclau [at] ie [dot] cuhk [dot] edu [dot] hk
• Office hours: Tue 10:45am to 12:15pm or by Appointment

Teaching Assistant:

• XU Huanle.
  • xh112 [at] ie [dot] cuhk [dot] edu [dot] hk
  • Office hours: Fri 4:00pm to 5:00pm
• YANG Ronghai
  • yr013 [at] ie [dot] cuhk [dot] edu [dot] hk
  • Office hours: Fri 4:00pm to 5:00pm

Website account:

User:cmsc5735 
Password: fall5735cmsc

Recommended Textbooks

• [KenBirman] Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-hosted Services, by Kenneth Birman, Publisher: Springer Verlag 2012.

• [CCTP] Cloud Computing: Theory and Practice, by Dan C. Marinescu, Publisher: Morgan Kaufmann 2009.

• [JLin] Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer, Morgan and Claypool Publishers, 2010, can be freely downloaded from http://lintool.github.io/MapReduceAlgorithms/

• [MMDS] Mining of Massive Datasets (Download version 1.3) by Anand Rajaraman, Jeff Ullman and Jure Leskovec, Cambridge University Press. Latest version can be downloaded from http://i.stanford.edu/~ullman/mmds.html#latest

• [GraphLabPapers] http://graphlab.org/resources/publications.html

• [PaperTrailBlog2PC] http://the-paper-trail.org/blog/consensus-protocols-two-phase-commit

• [PaperTrailBlogPaxos] http://the-paper-trail.org/blog/consensus-protocols-paxos ; http://the-paper-trail.org/blog/consensus-protocols-a-paxos-implementation

• [NoSQL] NoSQL Overview, Appendix A of the book titled "Graph Databases", by Ian Robinson, Jim Webber and Emil Eifrem (Can request a free copy from http://graphdatabases.com)

• [Hadoop] Hadoop: The Definitive Guide, by Tom White, published by Oreilly.

• [HBase] HBase: The Definitive Guide, by Lars George, published by Oreilly.

• [Cassandra] Cassandra: The Definitive Guide, by Eben Hewitt, published by Oreilly.

• [Pig] Programming Pig, by Alan Gates, published by Oreilly.

• [Hive] Programming Hive, by Edward Capriolo, Dean Wampler, Jason Rutherglen, published by Oreilly.

• [OpenStackOp] OpenStack Operations Guide, published by Oreilly, (current-version available online at: http://docs.openstack.org/openstack-ops/content )

Tentative Timetable

Course Assessment

Your grade will be based on the following components:

• Homeworks & Programming assignments (4-5 sets in total): 40%
• Project: 20%
• Final Exam: 40% (2-hour final examination)

Student/Faculty Expectations on Teaching and Learning

http://www.erg.cuhk.edu.hk/Student-Faculty-Expectations

Academic Honesty

You are expected to do your own work and acknowledge the use of anyone else's words or ideas. You MUST put down in your submitted work the names of people with whom you have had discussions.

Refer to http://www.cuhk.edu.hk/policy/academichonesty for details

When scholastic dishonesty is suspected, the matter will be turned over to the University authority for action.

You MUST include the following signed statement in all of your submitted homework, project assignments and examinations. Submission without a signed statement will not be graded.

I declare that the assignment here submitted is original except for source material explicitly acknowledged, and that the same or related material has not been previously submitted for another course. I also acknowledge that I am aware of University policy and regulations on honesty in academic work, and of the disciplinary guidelines and procedures applicable to breaches of such policy and regulations, as contained in the website http://www.cuhk.edu.hk/policy/academichonesty/.

Acknowledgement

Thanks a lot to Amazon and Microsoft for their great support of this course

Course Collaborators

Amazon AWS

Windows Azure

UnitedStack OS

CUHK