Distribution
Figure 5: VM count by wall time
This chart illustrates usage patterns of VM instances in terms of running wall time.
- Period: April 01 – April 30, 2014
- Cloud(IaaS): nimbus, openstack, eucalyptus
- Hostname: sierra
Figure 6: VMs count by project
This chart illustrates the proportion of launched VM instances by project groups. The same data in tabular form follows.
- Period: April 01 – April 30, 2014
- Cloud(IaaS): nimbus, openstack, eucalyptus
- Hostname: sierra
VMs count by project
Project |
Value |
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster |
45 |
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management |
29 |
fg-224:Nimbus Auto Scale |
21 |
fg-404:Enhancing Usage of cloud Infrastructure |
6 |
Figure 7: VMs count by project leader
This chart also illustrates the proportion of launched VM instances by project Leader. The same data in tabular form follows.
- Period: April 01 – April 30, 2014
- Cloud(IaaS): nimbus, openstack, eucalyptus
- Hostname: sierra
VMs count by project leader
Projectleader |
Value |
Jan Balewski |
45 |
Lavanya Ramakrishnan |
29 |
Pierre Riteau |
21 |
Rahul Limbole |
6 |
Figure 8: VMs count by institution
This chart illustrates the proportion of launched VM instances by Institution. The same data in tabular form follows.
- Period: April 01 – April 30, 2014
- Cloud(IaaS): nimbus, openstack, eucalyptus
- Hostname: sierra
VMs count by institution
Institution |
Value |
Massachusetts Institute of Technology, Laboratory for Nuclear Sc |
45 |
Lawrence Berkeley National Lab |
29 |
University of Chicago |
21 |
Veermata Jijabai Technological Institute Mumbai, Computer Scienc |
6 |
Figure 9: Wall time (hours) by project leader
This chart illustrates proportionate total run times by project leader.
- Period: April 01 – April 30, 2014
- Cloud(IaaS): nimbus, openstack, eucalyptus
- Hostname: sierra