Usage Report hotel

• Period: March 01 – March 31, 2014
• Hostname: hotel.futuregrid.org
• Services: nimbus
• 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: March 01 – March 31, 2014

• Cloud(IaaS): nimbus

• Hostname: hotel

• 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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

Distribution

Figure 5: VM count by wall time

This chart illustrates usage patterns of VM instances in terms of running wall time.

• Period: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

VMs count by project

Project	Value
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	468
fg-224:Nimbus Auto Scale	79
fg-82:FG General Software Development	67
fg-97:FutureGrid and Grid‘5000 Collaboration	66
fg-314:User-friendly tools to play with cloud platforms	8
fg-239:Community Comparison of Cloud frameworks	7
fg-9:Distributed Execution of Kepler Scientific Workflow on Future Grid	4
fg-150:SC11: Using and Building Infrastructure Clouds for Science	3
fg-374:Course: Cloud and Distributed Computing	3
fg-175:GridProphet, A workflow execution time prediction system for the Grid	2
fg-213:Course: Cloud Computing class - second edition	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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

VMs count by project leader

Projectleader	Value
Randall Sobie	468
Pierre Riteau	79
Gregor von Laszewski	67
Mauricio Tsugawa	66
Massimo Canonico	9
Yong Zhao	7
Ilkay Altintas	4
Philip Rhodes	3
John Bresnahan	3
Thomas Fahringer	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: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

VMs count by institution

Institution	Value
University of Victoria	468
University of Chicago	79
Indiana University	67
University of Florida	66
University of Piemonte Orientale, Computer Science Department	8
University of Electronic Science and Technology	7
UCSD	4
Nimbus	3
University of Mississippi, Department of Computer Science	3
University of Innsbruck	2
University of Piemonte Orientale	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

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 (hotel)

This column chart represents VMs count among systems.

• Period: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel

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

This column chart represents wall time among systems.

• Period: March 01 – March 31, 2014
• Cloud(IaaS): nimbus
• Hostname: hotel