Usage Report alamo

• Period: August 01 – August 31, 2013
• 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)

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: August 01 – August 31, 2013

• 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)

Figure 2: Users count

This time series chart represents daily active user count for cloud services and shows historical changes during the period.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

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, 2013
• 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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project

Project	Value
fg-40:Inca	255
fg-257:Particle Physics Data analysis cluster for ATLAS LHC experiment	15
fg-82:FG General Software Development	11
fg-152:Karnak Prediction Service	4
fg-312:Sensor-Rocks: A novel integrated framework to improve software Operations and Management (O&M) and power management in environmental observing systems	3
fg-175:GridProphet, A workflow execution time prediction system for the Grid	3
fg-110:FutureGrid Systems Development	3
fg-97:FutureGrid and Grid‘5000 Collaboration	3
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	2
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory	2
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	1
fg-136:JGC-DataCloud-2012 paper experiments	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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project leader

Projectleader	Value
Shava Smallen	255
Doug Benjamin	15
Gregor von Laszewski	11
Warren Smith	4
Sameer Tilak	3
Thomas Fahringer	3
Mauricio Tsugawa	3
Gary Miksik	3
John Lockman	2
Renato Figueiredo	2
Mats Rynge	1
Randall Sobie	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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by institution

Institution	Value
UC San Diego	255
Duke University	15
Indiana University	14
University of Texas at Austin	6
University of Florida	5
University of Innsbruck	3
UCSD, Calit2, UCSD	3
USC	1
University of Victoria	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: August 01 – August 31, 2013
• 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.

Figure 10: VMs count by systems (compute nodes) in Cluster (alamo)

This column chart represents VMs count among systems.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

Figure 11: Wall time (hours) by systems (compute nodes) in Cluster (alamo)

This column chart represents wall time among systems.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo