Period: August 01 – August 31, 2013
Cloud(IaaS): nimbus, openstack, eucalyptus
Hostname: sierra
Project | Value |
---|---|
fg-40:Inca | 239 |
fg-174:RAIN: FutureGrid Dynamic provisioning Framework | 230 |
fg-172:Cloud-TM | 210 |
fg-224:Nimbus Auto Scale | 104 |
fg-82:FG General Software Development | 87 |
fg-54:Investigating cloud computing as a solution for analyzing particle physics data | 80 |
fg-52:Cost-Aware Cloud Computing | 33 |
fg-168:Next Generation Sequencing in the Cloud | 27 |
fg-214:Mining Interactions between Network Community Structure and Information Diffusion | 20 |
fg-132:Large scale data analytics | 10 |
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications | 9 |
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management | 7 |
fg-175:GridProphet, A workflow execution time prediction system for the Grid | 5 |
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters | 3 |
fg-244:Course: Data Center Scale Computing | 1 |
fg-356:IPython pipelines for training life sciences researchers on NGS data analysis | 1 |
fg-69:Investigate provenance collection for MapReduce | 1 |
fg-180:STAMPEDE | 1 |
Projectleader | Value |
---|---|
Gregor von Laszewski | 317 |
Shava Smallen | 239 |
Paolo Romano | 210 |
Pierre Riteau | 104 |
Randall Sobie | 80 |
David Lowenthal | 33 |
Jonathan Klinginsmith | 27 |
Yong-Yeol Ahn | 20 |
Yogesh Simmhan | 10 |
Ilkay Altintas | 9 |
Lavanya Ramakrishnan | 7 |
Thomas Fahringer | 5 |
Renato Figueiredo | 3 |
Dan Gunter | 1 |
Dirk Grunwald | 1 |
Jiaan Zeng | 1 |
Todd Blevins | 1 |
Institution | Value |
---|---|
Indiana University | 364 |
UC San Diego | 239 |
INESC ID | 210 |
University of Chicago | 104 |
University of Victoria | 80 |
University of Arizona | 33 |
University of Southern California | 10 |
UCSD | 9 |
Lawrence Berkeley National Lab | 7 |
University of Innsbruck | 5 |
University of Florida | 3 |
Univ. of Colorado | 1 |
Indiana University, Depts of Biology and Molecular and Cellular | 1 |
LBNL | 1 |
Computer Science | 1 |
System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.