Usage Report alamo

• Period: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	2591
fg-40:Inca	654
fg-224:Nimbus Auto Scale	409
fg-257:Particle Physics Data analysis cluster for ATLAS LHC experiment	66
fg-152:Karnak Prediction Service	58
fg-13:FutureGrid Systems Development and Prototyping	48
fg-82:FG General Software Development	31
fg-310:OpenStack Familiarization for TACC	30
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	24
fg-151:XSEDE Operations Group	12
fg-341:Course: Parallel Computing	10
fg-20:Development of an information service for FutureGrid	7
fg-110:FutureGrid Systems Development	6
fg-97:FutureGrid and Grid‘5000 Collaboration	4
fg-362:Course: Cloud Computing and Storage (UF)	4
fg-248:Geophysical fluid dynamics education and research	3
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	2
fg-172:Cloud-TM	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: October 01 – December 23, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	2622
Shava Smallen	654
Pierre Riteau	409
Warren Smith	88
Doug Benjamin	66
Sharif Islam	48
Randall Sobie	24
David Gignac	12
Wilson Rivera	10
Hyungro Lee	7
Gary Miksik	6
Andy Li	4
Mauricio Tsugawa	4
Sameer Tilak	3
Glenn Flierl	3
Thomas Fahringer	2
Mats Rynge	1
Paolo Romano	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: October 01 – December 23, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by institution

Institution	Value
Indiana University	2683
UC San Diego	654
University of Chicago	409
Duke University	66
University of Texas at Austin	58
University of Texas at Austin, Texas Advanced Computing Center	30
University of Victoria	24
University of Texas	12
University of Puerto Rico, Electrical and Computer Emgineering D	10
University of Florida	4
University of Florida, Department of Electrical and Computer Eng	4
Massachusetts Institute of Technology	3
UCSD, Calit2, UCSD	3
University of Innsbruck	2
INESC ID	1
USC	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: October 01 – December 23, 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: October 01 – December 23, 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: October 01 – December 23, 2013
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo