Distribution
Figure 5: VM count by wall time
This chart illustrates usage patterns of VM instances in terms of running wall time.
- Period: August 01 – August 31, 2014
- Cloud(IaaS): nimbus
- Hostname: hotel
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: August 01 – August 31, 2014
- Cloud(IaaS): nimbus
- Hostname: hotel
VMs count by project
Project |
Value |
fg-418:Course: Cloud Computing Class - fourth edition |
843 |
fg-97:FutureGrid and Grid‘5000 Collaboration |
134 |
fg-314:User-friendly tools to play with cloud platforms |
30 |
fg-54:Investigating cloud computing as a solution for analyzing particle physics data |
19 |
fg-224:Nimbus Auto Scale |
14 |
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: August 01 – August 31, 2014
- Cloud(IaaS): nimbus
- Hostname: hotel
VMs count by project leader
Projectleader |
Value |
Massimo Canonico |
873 |
Mauricio Tsugawa |
134 |
Randall Sobie |
19 |
Pierre Riteau |
14 |
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: August 01 – August 31, 2014
- Cloud(IaaS): nimbus
- Hostname: hotel
VMs count by institution
Institution |
Value |
University of Piemonte Orientale, Computer Science Department |
873 |
University of Florida |
134 |
University of Victoria |
19 |
University of Chicago |
14 |
Figure 9: Wall time (hours) by project leader
This chart illustrates proportionate total run times by project leader.
- Period: August 01 – August 31, 2014
- Cloud(IaaS): nimbus
- Hostname: hotel