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Usage Report alamo

  • Period: January 01 – January 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: January 01 – January 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: January 01 – January 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: January 01 – January 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: January 01 – January 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: January 01 – January 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: January 01 – January 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project
Project Value
fg-224:Nimbus Auto Scale 295
fg-40:Inca 231
fg-257:Particle Physics Data analysis cluster for ATLAS LHC experiment 33
fg-175:GridProphet, A workflow execution time prediction system for the Grid 24
fg-152:Karnak Prediction Service 21
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters 5
fg-151:XSEDE Operations Group 4
fg-110:FutureGrid Systems Development 2
fg-392:Using Clouds to Scale GIS Applications 2
fg-382:Reliability Analysis using Hadoop and MapReduce 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: January 01 – January 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project leader
Projectleader Value
Pierre Riteau 295
Shava Smallen 231
Doug Benjamin 33
Thomas Fahringer 24
Warren Smith 21
Renato Figueiredo 5
David Gignac 4
Kate Keahey 2
Gary Miksik 2
Carl Walasek 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: January 01 – January 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by institution
Institution Value
University of Chicago 295
UC San Diego 231
Duke University 33
University of Innsbruck 24
University of Texas at Austin 21
University of Florida 5
University of Texas 4
University of Chicago, Computation Institute 2
Indiana University 2
University of the Sciences , Mathematics, Physics, and Statistic 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: January 01 – January 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: January 01 – January 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: January 01 – January 31, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo