Distribution
Figure 5: VM count by wall time
This chart illustrates usage patterns of VM instances in terms of running wall time.
- Period: September 01 – September 30, 2014
- Cloud(IaaS): nimbus, openstack
- Hostname: alamo
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: September 01 – September 30, 2014
- Cloud(IaaS): nimbus, openstack
- Hostname: alamo
VMs count by project
Project |
Value |
fg-40:Inca |
79 |
fg-152:Karnak Prediction Service |
12 |
fg-174:RAIN: FutureGrid Dynamic provisioning Framework |
12 |
fg-314:User-friendly tools to play with cloud platforms |
9 |
fg-110:FutureGrid Systems Development |
1 |
fg-97:FutureGrid and Grid‘5000 Collaboration |
1 |
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: September 01 – September 30, 2014
- Cloud(IaaS): nimbus, openstack
- Hostname: alamo
VMs count by project leader
Projectleader |
Value |
Shava Smallen |
79 |
Gregor von Laszewski |
12 |
Warren Smith |
12 |
Massimo Canonico |
9 |
Mauricio Tsugawa |
1 |
Gary Miksik |
1 |
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: September 01 – September 30, 2014
- Cloud(IaaS): nimbus, openstack
- Hostname: alamo
VMs count by institution
Institution |
Value |
UC San Diego |
79 |
Indiana University |
13 |
University of Texas at Austin |
12 |
University of Piemonte Orientale, Computer Science Department |
9 |
University of Florida |
1 |
Figure 9: Wall time (hours) by project leader
This chart illustrates proportionate total run times by project leader.
- Period: September 01 – September 30, 2014
- Cloud(IaaS): nimbus, openstack
- Hostname: alamo