Course: Data Center Scale Computing Class

Abstract

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 

Intellectual Merit

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.

Broader Impact

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.

Use of FutureGrid

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

Scale Of Use

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.

Publications


FG-355
Dirk Grunwald
Univ. of Colorado, Boulder
Active

Project Members

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

Timeline

47 weeks 5 days ago