Period: October 01 – December 23, 2013
Cloud(IaaS): nimbus, openstack, eucalyptus
Hostname: sierra
Project | Value |
---|---|
fg-174:RAIN: FutureGrid Dynamic provisioning Framework | 2066 |
fg-224:Nimbus Auto Scale | 835 |
fg-40:Inca | 617 |
fg-54:Investigating cloud computing as a solution for analyzing particle physics data | 236 |
fg-172:Cloud-TM | 128 |
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management | 82 |
fg-82:FG General Software Development | 77 |
fg-389:Investigating the Apache Big Data Stack | 74 |
fg-362:Course: Cloud Computing and Storage (UF) | 70 |
fg-168:Next Generation Sequencing in the Cloud | 58 |
fg-355:Course: Data Center Scale Computing Class | 55 |
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster | 40 |
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory | 35 |
fg-97:FutureGrid and Grid‘5000 Collaboration | 27 |
fg-363:Course: Applied Cyberinfrastructure concepts | 23 |
fg-214:Mining Interactions between Network Community Structure and Information Diffusion | 15 |
fg-374:Course: Cloud and Distributed Computing | 15 |
fg-316:Course: Cloud Computing Class - third edition | 15 |
fg-244:Course: Data Center Scale Computing | 14 |
fg-372:Mobile Device Computation Offloading over SocialVPNs | 14 |
fg-384:Graph/network analysis Resource manager | 12 |
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications | 12 |
fg-334:Tutorial on Cloud Computing and Software-defined Networking | 10 |
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing | 10 |
fg-364:Course: EEL6871 Autonomic Computing | 8 |
fg-215:FuturGrid Directory Entry | 8 |
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters | 7 |
fg-341:Course: Parallel Computing | 6 |
fg-380:FutureGrid Support for BigData MOOC | 6 |
fg-233:CINET - A Cyber-Infrastructure for Network Science | 5 |
fg-382:Reliability Analysis using Hadoop and MapReduce | 5 |
fg-175:GridProphet, A workflow execution time prediction system for the Grid | 5 |
fg-369:Testing of Network Facing Services for the Open Science Grid | 4 |
fg-243:Applied Cyberinfrastructure concepts | 4 |
fg-381:Authentication of Mobile Cloud Computing | 3 |
fg-301:Course: Advanced Networking class University of Colorado | 1 |
fg-314:User-friendly tools to play with cloud platforms | 1 |
fg-315:Biome representational in silico karyotyping | 1 |
fg-340:Research: Parallel Computing for Machine Learning | 1 |
fg-69:Investigate provenance collection for MapReduce | 1 |
Projectleader | Value |
---|---|
Gregor von Laszewski | 2151 |
Pierre Riteau | 835 |
Shava Smallen | 617 |
Randall Sobie | 236 |
Paolo Romano | 128 |
Lavanya Ramakrishnan | 82 |
ibrahim hallac | 74 |
Andy Li | 70 |
Dirk Grunwald | 69 |
Jonathan Klinginsmith | 58 |
Jan Balewski | 40 |
John Lockman | 35 |
Nirav Merchant | 27 |
Mauricio Tsugawa | 27 |
Renato Figueiredo | 21 |
Massimo Canonico | 16 |
Philip Rhodes | 15 |
Yong-Yeol Ahn | 15 |
Ilkay Altintas | 12 |
Tirtha Bhattacharjee | 12 |
Jose Fortes | 10 |
Theron Voran | 10 |
Meng Han | 8 |
Wilson Rivera | 7 |
Abhilash Koppula | 6 |
Thomas Fahringer | 5 |
Keith Bisset | 5 |
Carl Walasek | 5 |
Igor Sfiligoi | 4 |
Shane Green | 3 |
Aaron Lee | 1 |
Jiaan Zeng | 1 |
Eric Keller | 1 |
Institution | Value |
---|---|
Indiana University | 2224 |
University of Chicago | 835 |
UC San Diego | 617 |
University of Victoria | 236 |
INESC ID | 128 |
Lawrence Berkeley National Lab | 82 |
Firat University, Computer Science Department | 74 |
University of Florida, Department of Electrical and Computer Eng | 70 |
Univ. of Colorado, Boulder, Computer Science | 55 |
Massachusetts Institute of Technology, Laboratory for Nuclear Sc | 40 |
University of Texas at Austin | 35 |
University of Florida | 34 |
University of Arizona, Arizona Research Laboratories, School of | 23 |
University of Piemonte Orientale, Computer Science Department | 16 |
University of Mississippi, Department of Computer Science | 15 |
University of Florida, Electrical and Computer Engineering | 14 |
Univ. of Colorado | 14 |
Virginia Bioinformatics Institute, Virginia Polytechnic Institut | 12 |
UCSD | 12 |
University of Florida, Advanced Computing and Information System | 10 |
University of Colorado at Boulder, Computer Science Department | 10 |
University of Florida, ACIS | 8 |
University of Puerto Rico, Electrical and Computer Emgineering D | 7 |
Indiana University, Community Grids Lab | 6 |
University of the Sciences , Mathematics, Physics, and Statistic | 5 |
University of Innsbruck | 5 |
Virginia Tech | 5 |
University of California San Diego, Physics Department | 4 |
University of Arizona | 4 |
Colorado Technical University, Computer Science and Engineering | 3 |
Washington University at St Louis, School of Medicine, Departmen | 1 |
University of Colorado | 1 |
Computer Science | 1 |
System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.