Class Assignment: Map Reduce Comparison
Abstract
This project is done as part of the course EE657 taught at University of Southern California between Aug. 21, 2012 and Dec. 15, 2012. The class is offered to graduate students. The goal of this project is to introduce the students to cloud computing and internet of things. This is achieved by a project that compares a well known word count application on Hadoop using Eucalptus, Nimbus, and at least one other Clod Framework such as OpenStack, OpenNebula, or Sector/Sphere. The link to the class web site and its curriculum is http://web-app.usc.edu/soc/20123/ee.
Intellectual Merit
This project is an educational homework assignment conducted under the supervision of Prof. Kai Hwang. It is an effort to educate students as part of the course EE657 at University of Southern California. The learning outcome of this assignment should make the students be able to handle basic cloud infrastructure as well as the use of Hadoop. The work conducted is the homework assignment No. 4. The students will compare performance on Hadoop using Eucalptus, Nimbus, and at least one other of OpenStack, OpenNebula, or Sector/Sphere.
Broader Impact
14 students attend the class, and one is female, 5 are from underrepresented groups.
Use of FutureGrid
Use FutureGrid as a platform to provide the environment for programming and as a portal for Hadoop using Eucalptus, Nimbus, and at least one other of OpenStack, OpenNebula, or Sector/Sphere
Scale Of Use
A few VMs for an experiment with 14 students.
Publications
Results
So far one student of the class has contacted us. All other students will join this project.
Futuregrid is a resource provider for