Period: November 13 – May 13, 2014
Cloud(IaaS): nimbus, openstack, eucalyptus
Hostname: sierra
Project | Value |
---|---|
fg-174:RAIN: FutureGrid Dynamic provisioning Framework | 1069 |
fg-40:Inca | 848 |
fg-54:Investigating cloud computing as a solution for analyzing particle physics data | 426 |
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management | 337 |
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing | 219 |
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster | 218 |
fg-362:Course: Cloud Computing and Storage (UF) | 168 |
fg-172:Cloud-TM | 158 |
fg-82:FG General Software Development | 142 |
fg-224:Nimbus Auto Scale | 138 |
fg-389:Investigating the Apache Big Data Stack | 108 |
fg-384:Graph/network analysis Resource manager | 56 |
fg-355:Course: Data Center Scale Computing Class | 54 |
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters | 48 |
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory | 40 |
fg-168:Next Generation Sequencing in the Cloud | 37 |
fg-165:The VIEW Project | 31 |
fg-363:Course: Applied Cyberinfrastructure concepts | 21 |
fg-175:GridProphet, A workflow execution time prediction system for the Grid | 16 |
fg-214:Mining Interactions between Network Community Structure and Information Diffusion | 15 |
fg-374:Course: Cloud and Distributed Computing | 15 |
fg-382:Reliability Analysis using Hadoop and MapReduce | 12 |
fg-372:Mobile Device Computation Offloading over SocialVPNs | 12 |
fg-244:Course: Data Center Scale Computing | 10 |
fg-341:Course: Parallel Computing | 6 |
fg-404:Enhancing Usage of cloud Infrastructure | 6 |
fg-316:Course: Cloud Computing Class - third edition | 6 |
fg-233:CINET - A Cyber-Infrastructure for Network Science | 5 |
fg-364:Course: EEL6871 Autonomic Computing | 5 |
fg-97:FutureGrid and Grid‘5000 Collaboration | 4 |
fg-243:Applied Cyberinfrastructure concepts | 3 |
fg-136:JGC-DataCloud-2012 paper experiments | 3 |
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications | 2 |
fg-340:Research: Parallel Computing for Machine Learning | 1 |
Projectleader | Value |
---|---|
Gregor von Laszewski | 1211 |
Shava Smallen | 848 |
Randall Sobie | 426 |
Lavanya Ramakrishnan | 337 |
Theron Voran | 219 |
Jan Balewski | 218 |
Andy Li | 168 |
Paolo Romano | 158 |
Pierre Riteau | 138 |
ibrahim hallac | 108 |
Dirk Grunwald | 64 |
Renato Figueiredo | 60 |
Tirtha Bhattacharjee | 56 |
John Lockman | 40 |
Jonathan Klinginsmith | 37 |
Shiyong Lu | 31 |
Nirav Merchant | 24 |
Thomas Fahringer | 16 |
Philip Rhodes | 15 |
Yong-Yeol Ahn | 15 |
Carl Walasek | 12 |
Wilson Rivera | 7 |
Massimo Canonico | 6 |
Rahul Limbole | 6 |
Keith Bisset | 5 |
Meng Han | 5 |
Mauricio Tsugawa | 4 |
Mats Rynge | 3 |
Ilkay Altintas | 2 |
Institution | Value |
---|---|
Indiana University | 1263 |
UC San Diego | 848 |
University of Victoria | 426 |
Lawrence Berkeley National Lab | 337 |
University of Colorado at Boulder, Computer Science Department | 219 |
Massachusetts Institute of Technology, Laboratory for Nuclear Sc | 218 |
University of Florida, Department of Electrical and Computer Eng | 168 |
INESC ID | 158 |
University of Chicago | 138 |
Firat University, Computer Science Department | 108 |
Virginia Bioinformatics Institute, Virginia Polytechnic Institut | 56 |
Univ. of Colorado, Boulder, Computer Science | 54 |
University of Florida | 52 |
University of Texas at Austin | 40 |
Wayne State University | 31 |
University of Arizona, Arizona Research Laboratories, School of | 21 |
University of Innsbruck | 16 |
University of Mississippi, Department of Computer Science | 15 |
University of Florida, Electrical and Computer Engineering | 12 |
University of the Sciences , Mathematics, Physics, and Statistic | 12 |
Univ. of Colorado | 10 |
University of Puerto Rico, Electrical and Computer Emgineering D | 7 |
Veermata Jijabai Technological Institute Mumbai, Computer Scienc | 6 |
University of Piemonte Orientale, Computer Science Department | 6 |
University of Florida, ACIS | 5 |
Virginia Tech | 5 |
USC | 3 |
University of Arizona | 3 |
UCSD | 2 |
System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.