Course: Data Center Scale Computing Class

Project Information

Discipline

Computer Science (401) 

Orientation

Education 

This project is for a research seminar on data center scale computing and to support projects within that class. The class covers the technology, architecture and applications of data center scale computing. Projects involving computing-on-graphs, data-parallel processing and architectures similar to RAMcloud 

This class has served to "boostrap" skills in data center scale computing and applications at the Univ. of Colorado. The course covers basic skills in using IaaS systems, services such as zookeeper and data-centric computing. This semester's class will also cover in-memory based computing, persistent memory systems and scalable graph processing.

This class serves graduate and some undergraduate students at the University of Colorado who are interested in applying data center scale computing to applications in graph processing, social network analysis and distributed systems.

Project Contact

Project Lead

Dirk Grunwald (grunwald) 

Project Manager

Dirk Grunwald (grunwald) 

Project Members

Sears Merritt, Eric Goodman, Matthew Monaco, Greg Guyles, Michael Coughlin, Andrew Sayler, Adam Cardenas, Oliver Michel, bo pearce, Abdullah Boodai  

Resource Requirements

Hardware Systems

• sierra (IBM iDataPlex at SDSC)
• I don't care (what I really need is a software environment and I don't care where it runs)

 

Futuregrid will be used for exercises in directed assignments and for student projects.

A few VM's for experiments / learning. We will be wanting to run benchmarks using hadoop for different graph systems, but that will be for smaller (8-16 nodes) systems.

Project Timeline

Submitted

07/10/2013 - 11:31