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Usage Report alamo

  • Period: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project
Project Value
fg-40:Inca 497
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster 55
fg-174:RAIN: FutureGrid Dynamic provisioning Framework 25
fg-20:Development of an information service for FutureGrid 10
fg-97:FutureGrid and Grid‘5000 Collaboration 7
fg-110:FutureGrid Systems Development 5
fg-152:Karnak Prediction Service 4
fg-314:User-friendly tools to play with cloud platforms 2
fg-224:Nimbus Auto Scale 1
fg-151:XSEDE Operations Group 1
fg-443:Virtual Machine Live Migration for Disaster Recovery in WANs 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: April 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by project leader
Projectleader Value
Shava Smallen 497
Jan Balewski 55
Gregor von Laszewski 25
Hyungro Lee 10
Mauricio Tsugawa 7
Gary Miksik 5
Warren Smith 4
Massimo Canonico 2
Tae Seung Kang 1
David Gignac 1
Pierre Riteau 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: April 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo
VMs count by institution
Institution Value
UC San Diego 497
Massachusetts Institute of Technology, Laboratory for Nuclear Sc 55
Indiana University 40
University of Florida 7
University of Texas at Austin 4
University of Piemonte Orientale, Computer Science Department 2
University of Chicago 1
University of Florida, Advanced Computing and Information System 1
University of Texas 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: April 01 – June 30, 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: April 01 – June 30, 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: April 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack
  • Hostname: alamo