Period: October 01 – December 23, 2013
Cloud(IaaS): openstack, eucalyptus
Hostname: india
Project | Value |
---|---|
fg-172:Cloud-TM | 685 |
fg-82:FG General Software Development | 222 |
Others | 209 |
fg-316:Course: Cloud Computing Class - third edition | 108 |
fg-143:Course: Cloud Computing for Data Intensive Science Class | 47 |
fg-213:Course: Cloud Computing class - second edition | 41 |
fg-54:Investigating cloud computing as a solution for analyzing particle physics data | 22 |
fg-179:GPCloud: Cloud-based Automatic Repair of Real-World Software Bugs | 17 |
fg-3:Survey of Open-Source Cloud Infrastructure using FutureGrid Testbed | 16 |
fg-233:CINET - A Cyber-Infrastructure for Network Science | 5 |
fg-42:SAGA | 4 |
fg-253:Characterizing Performance of Infrastructure Clouds | 4 |
fg-201:ExTENCI Testing, Validation, and Performance | 3 |
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters | 3 |
fg-136:JGC-DataCloud-2012 paper experiments | 3 |
fg-60:Wide area distributed file system for MapReduce applications on FutureGrid platform | 3 |
fg-149:Metagenome analysis of benthic marine invertebrates | 2 |
fg-189:Pegasus development and improvement platform | 1 |
fg-20:Development of an information service for FutureGrid | 1 |
Projectleader | Value |
---|---|
Paolo Romano | 685 |
Gregor von Laszewski | 222 |
Others | 209 |
Massimo Canonico | 149 |
Judy Qiu | 47 |
Randall Sobie | 22 |
Claire Le Goues | 17 |
Tak-Lon Wu | 16 |
Keith Bisset | 5 |
Mats Rynge | 4 |
Shantenu Jha | 4 |
Paul Marshall | 4 |
Preston Smith | 3 |
Lizhe Wang | 3 |
Renato Figueiredo | 3 |
Jason Kwan | 2 |
Hyungro Lee | 1 |
Institution | Value |
---|---|
INESC ID | 685 |
Indiana University | 289 |
Others | 209 |
University of Piemonte Orientale, Computer Science Department | 108 |
University of Piemonte Orientale | 41 |
University of Victoria | 22 |
University of Virginia | 17 |
Virginia Tech | 5 |
USC | 4 |
Louisiana State University | 4 |
University of Colorado at Boulder | 4 |
Purdue University | 3 |
University of Florida | 3 |
University of Utah | 2 |
System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.