Usage Report alamo

• Period: November 13 – May 13, 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)

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: November 13 – May 13, 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)

Figure 2: Users count

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

• Period: November 13 – May 13, 2014
• 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: November 13 – May 13, 2014
• 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: November 13 – May 13, 2014
• 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: November 13 – May 13, 2014
• 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: November 13 – May 13, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project

Project	Value
fg-40:Inca	1221
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	1067
fg-224:Nimbus Auto Scale	806
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	291
fg-257:Particle Physics Data analysis cluster for ATLAS LHC experiment	82
fg-165:The VIEW Project	61
fg-152:Karnak Prediction Service	38
fg-310:OpenStack Familiarization for TACC	29
fg-175:GridProphet, A workflow execution time prediction system for the Grid	27
fg-110:FutureGrid Systems Development	14
fg-341:Course: Parallel Computing	10
fg-13:FutureGrid Systems Development and Prototyping	10
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	9
fg-97:FutureGrid and Grid‘5000 Collaboration	9
fg-151:XSEDE Operations Group	9
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	5
fg-362:Course: Cloud Computing and Storage (UF)	4
fg-372:Mobile Device Computation Offloading over SocialVPNs	3
fg-392:Using Clouds to Scale GIS Applications	2
fg-382:Reliability Analysis using Hadoop and MapReduce	2
fg-82:FG General Software Development	1
fg-42:SAGA	1
fg-172:Cloud-TM	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: November 13 – May 13, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project leader

Projectleader	Value
Shava Smallen	1221
Gregor von Laszewski	1068
Pierre Riteau	806
Jan Balewski	291
Doug Benjamin	82
Warren Smith	67
Shiyong Lu	61
Thomas Fahringer	27
Gary Miksik	14
Sharif Islam	10
Wilson Rivera	10
Randall Sobie	9
David Gignac	9
Mauricio Tsugawa	9
Renato Figueiredo	8
Andy Li	4
Carl Walasek	2
Kate Keahey	2
Shantenu Jha	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: November 13 – May 13, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by institution

Institution	Value
UC San Diego	1221
Indiana University	1092
University of Chicago	806
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	291
Duke University	82
Wayne State University	61
University of Texas at Austin	38
University of Texas at Austin, Texas Advanced Computing Center	29
University of Innsbruck	27
University of Florida	14
University of Puerto Rico, Electrical and Computer Emgineering D	10
University of Victoria	9
University of Texas	9
University of Florida, Department of Electrical and Computer Eng	4
University of Florida, Electrical and Computer Engineering	3
University of Chicago, Computation Institute	2
University of the Sciences , Mathematics, Physics, and Statistic	2
INESC ID	1
Louisiana State University	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: November 13 – May 13, 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.

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

This column chart represents VMs count among systems.

• Period: November 13 – May 13, 2014
• 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: November 13 – May 13, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo