CS499/699 – Cloud Computing

Instructor

Keke Chen, Ph.D., Office: 385 Joshi
Email: keke.chen@wright.edu , Phone: (937) 775-4642
Web: http://www.cs.wright.edu/~keke.chen/
office hours: 2:30-4pm TR

Course Description

This is an introductory course to cloud computing. In this course, we will explore a few aspects of cloud computing: distributed data crunching with MapReduce, cloud and datacenter filesystems, virtualization, cloud security&privacy, Amazon Web Services, and interactive web-based applications. Students are expected to read extra materials including papers and online resources, finish several mini projects, and take the final exam. Participation in the class discussion is strongly encouraged. Guest speakers might be invited for some particular topics. (3 Hours Lecture + 1 Hour lab).

Class meeting time: 4:10-5:25pm, TR

Classroom: Medical Sciences 129

Prerequisite:

CS400/600, CEG433/633 (good knowledge of data structures, algorithms, databases, operating systems, and distributed computing). The projects will require good Java programming skills and sufficient knowledge of Python and script programming. Be prepared to learn new programming frameworks. You should have good experience working in the Linux environment, since our projects will be done in Linux.

Text Books and Materials

There is no textbook for this course. All materials will come from recently published papers and online documents. Please check some sample references at the end of this page.

Grading Policy

Mini projects 60%
Reading 10%
Final exam 20% 
Class participation 10%

A[90-100] B[80-89] C[70-79] D[60-69] F[<60]. The instructor will curve the final grades based on the distribution of scores.

Covered Topics (tentative)

1. Introduction 1 class
2. Cloud and datacenter file systems    1 class
3. MapReduce programming                                     3~4 classes
4. Virtualization 1 classes
5. Amazon Web Services and Eucalyptus 2~3 classes
6. Interactive Web-based applications 1~2 classes
7. Security and Privacy issues 2 classes
8. Mini project discussion 2 classes
9. Advanced Research Topics 1~2 classes

These topics may be covered in different ordering.

Mini-projects

Several mini projects will be given. Students will get familiar with hadoop, map-reduce programming, AWS, and possibly interactive applications in these projects.

References

1. “Above the Clouds: A Berkeley View of Cloud Computing”, Michael Armbrust, et al. Technical Report, University of Berkerley, 2009, http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf
2. “The Claremont Report on Database Research”, 2008, http://db.cs.berkeley.edu/claremont/claremontreport08.pdf
3. hadoop, http://hadoop.apache.org/
4. Pig http://hadoop.apache.org/pig/
5. Hbase http://hadoop.apache.org/hbase/
6. Hive http://hadoop.apache.org/hive/
7. “The Google File System”, Sanjay Ghemawat, Howard Gobioff, and Shun-Tak Leung, OSDI, 2003, http://labs.google.com/papers/gfs-sosp2003.pdf
8. “Bigtable: A Distributed Storage System for Structured Data”, Fay Chang, et al. OSDI 2006, http://labs.google.com/papers/bigtable-osdi06.pdf
9. “MapReduce: Simplified Data Processing on Large Clusters”, Jeffrey Dean and Sanjay Ghemawat, OSDI 2004, http://labs.google.com/papers/mapreduce-osdi04.pdf
10. “Map-Reduce for Machine Learning on Multicore”, Cheng-Tao Chu et al. NIPS, 2006, http://www.cs.stanford.edu/people/ang//papers/nips06-mapreducemulticore.pdf
11. A comparison of approaches to large-scale data analysis. A. Pavlo et al. SIGMOD2009, http://database.cs.brown.edu/sigmod09/benchmarks-sigmod09.pdf
12. Amazon Web Services, http://aws.amazon.com/
13. Eucalyptus (http://www.eucalyptus.com/)
14. AppEngine http://code.google.com/appengine/
15. Azure http://www.microsoft.com/azure/
16. “Xen and the Art of Virtualization”, Paul Barham, et al., SOSP 2003, http://www.cl.cam.ac.uk/research/srg/netos/papers/2003-xensosp.pdf

17. “Benchmarking cloud serving systems with YCSB” Brian F. Cooper, Adam Silberstein, Erwin Tam, Raghu Ramakrishnan, Russell Sears, ACM Symposium on Cloud Computing, 2010, [PDF]

18. Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance (Theory in Practice) by Tim Mather, Subra Kumaraswamy

and Shahed Latif, 2009

more recent papers…