Usage Report alamo

• Period: July 01 – July 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)

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: July 01 – July 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)

Figure 2: Users count

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

• Period: July 01 – July 31, 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: July 01 – July 31, 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: July 01 – July 31, 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: July 01 – July 31, 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: July 01 – July 31, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project

Project	Value
fg-418:Course: Cloud Computing Class - fourth edition	715
fg-40:Inca	245
fg-341:Course: Parallel Computing	17
fg-445:Deployment of Virtual Clusters on a Commercial Cloud Platform for Molecular Docking	8
fg-110:FutureGrid Systems Development	7
fg-152:Karnak Prediction Service	2

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: July 01 – July 31, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by project leader

Projectleader	Value
Massimo Canonico	715
Shava Smallen	245
Wilson Rivera	17
Anthony Nguyen	8
Gary Miksik	7
Warren Smith	2

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: July 01 – July 31, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo

VMs count by institution

Institution	Value
University of Piemonte Orientale, Computer Science Department	715
UC San Diego	245
University of Puerto Rico, Electrical and Computer Emgineering D	17
University of California, San Diego, PRIME/PRAGMA	8
Indiana University	7
University of Texas at Austin	2

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: July 01 – July 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.

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

This column chart represents VMs count among systems.

• Period: July 01 – July 31, 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: July 01 – July 31, 2014
• Cloud(IaaS): nimbus, openstack
• Hostname: alamo