Big Data Systems

Scott Brandt, Carlos Maltzahn



Introductory reading:

Big Data Now: Current Perspectives from O’Reilly Media, 2nd edition (October 23, 2012)

Freely available at O’Reilly (ePub, Mobi, PDF) or Amazon (Kindle)

The class will consist of three parts:

  1. 1.Weekly readings and class discussions on papers related to the class topic.

  2. 2.An individual or group project. We will develop a number of specific project ideas as part of the class and everyone will be expected to implement one of these ideas, either individually or as part of a group.

  3. 3.A final report.  Everyone will be expected to turn in a project writeup similar to the conference papers we will be reading in class.

Prerequisites: you are expected to have basic operating system knowledge, such as presented in a standard undergraduate course such as CMPS 111. Furthermore, you are expected to have taken CMPS 221, Advanced Operating Systems. Others will be admitted with the instructors permission based upon demonstrated systems background and sophistication necessary for successful completion of this course.

Course Requirements

One or more articles will be assigned as reading prior to each class meeting - usually two per class. These articles should be read carefully, and a short summary of each article and a few questions or insightful comments about the material (at least 3 per paper) prepared for the following class meeting. The summary of each article consists of brief answers to the following seven questions:

   1. What is the problem the authors are trying to solve?

   2. What other approaches or solutions existed at the time that this work was done?

   3. What was wrong with the other approaches or solutions?

   4. What is the authors' approach or solution?

   5. Why is it better than the other approaches or solutions?

   6. How does it perform?

   7. Why is this work important?

   8. 3+ comments/questions

You will be required to write a report on a topic in the area of storage systems. This report should be the results of a project, original research (preferred), or a strong survey of prior art. Reporting work done for another course is not acceptable. You must choose a topic by second week of the quarter. Each student will give a final presentation on their project at the end of the quarter.

Your grade in the course is based 25% on preparedness and class participation, 25% for presentations, and 50% for your term project and report.


Class attendance is required. This is a discussion-based seminar course and you will not pass if you routinely miss class.

Academic Honesty

All the work you turn in must be your own. If you get ideas or material from any source other than your own mind (even from conversations with others), you must cite that source. Failure to do so constitutes plagiarism and will not be tolerated - you will not pass the course.