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Usage Report alamo

  • Period: March 01 – March 31, 2014
  • Hostname: alamo.futuregrid.org
  • Services: nimbus, openstack
  • Metrics: VMs count, Users count, Wall time (hours), Distribution by wall time, project, project leader, and institution, and systems

Histogram

Summary (Monthly)

Average Monthly Usage Data (Wall time, Launched VMs, Users)
Figure 1: Average monthly usage data (wall time (hour), launched VMs, users)
This mixed chart represents average monthly usage as to wall time (hour), the number of VM instances and active users.
  • Period: March 01 – March 31, 2014

  • Cloud(IaaS): nimbus, openstack

  • Hostname: alamo

  • Metric:
    • Runtime (Wall time hours): Sum of time elapsed from launch to termination of VM instances
    • Count (VM count): The number of launched VM instances
    • User count (Active): The number of users who launched VMs

Summary (Daily)

Users count (daily)
Figure 2: Users count
This time series chart represents daily active user count for cloud services and shows historical changes during the period.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count (daily)
Figure 3: VMs count
This time series chart represents the number of daily launched VM instances for cloud services and shows historical changes during the period.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
Wall time (hours, daily)
Figure 4: Wall time (hours)
This time series chart represents daily wall time (hours) for cloud services and shows historical changes during the period.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo

Distribution

VM count by wall time
Figure 5: VM count by wall time
This chart illustrates usage patterns of VM instances in terms of running wall time.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project
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: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project
Project Value
fg-40:Inca 251
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster 236
fg-174:RAIN: FutureGrid Dynamic provisioning Framework 197
fg-224:Nimbus Auto Scale 67
fg-165:The VIEW Project 61
fg-152:Karnak Prediction Service 6
fg-257:Particle Physics Data analysis cluster for ATLAS LHC experiment 5
fg-110:FutureGrid Systems Development 3
fg-97:FutureGrid and Grid‘5000 Collaboration 2
fg-362:Course: Cloud Computing and Storage (UF) 2
fg-175:GridProphet, A workflow execution time prediction system for the Grid 1
VMs count by project leader
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: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project leader
Projectleader Value
Shava Smallen 251
Jan Balewski 236
Gregor von Laszewski 197
Pierre Riteau 67
Shiyong Lu 61
Warren Smith 6
Doug Benjamin 5
Gary Miksik 3
Mauricio Tsugawa 2
Andy Li 2
Thomas Fahringer 1
VMs count by institution
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: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by institution
Institution Value
UC San Diego 251
Massachusetts Institute of Technology, Laboratory for Nuclear Sc 236
Indiana University 200
University of Chicago 67
Wayne State University 61
University of Texas at Austin 6
Duke University 5
University of Florida 2
University of Florida, Department of Electrical and Computer Eng 2
University of Innsbruck 1
Wall time (hours) by project leader
Figure 9: Wall time (hours) by project leader
This chart illustrates proportionate total run times by project leader.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo

System information

System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.

VMs count by systems in Cluster (alamo)
Figure 10: VMs count by systems (compute nodes) in Cluster (alamo)
This column chart represents VMs count among systems.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
Wall time (hours) by systems in Cluster (alamo)
Figure 11: Wall time (hours) by systems (compute nodes) in Cluster (alamo)
This column chart represents wall time among systems.
  • Period: March 01 – March 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo