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Usage Report sierra

  • Period: June 01 – June 30, 2014
  • Hostname: sierra.futuregrid.org
  • Services: nimbus, openstack, eucalyptus
  • Metrics: VMs count, Users count, Wall time (hours), Distribution by wall time, project, project leader, and institution, and systems

Histogram

Summary (Monthly)

Average Monthly Usage Data (Wall time, Launched VMs, Users)
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: June 01 – June 30, 2014

  • Cloud(IaaS): nimbus, openstack, eucalyptus

  • Hostname: sierra

  • 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)

Users count (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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count (daily)
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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
Wall time (hours, daily)
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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra

Distribution

VM count by wall time
Figure 5: VM count by wall time
This chart illustrates usage patterns of VM instances in terms of running wall time.
  • Period: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by project
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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by project
Project Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework 60
fg-224:Nimbus Auto Scale 24
fg-389:Investigating the Apache Big Data Stack 13
fg-362:Course: Cloud Computing and Storage (UF) 9
fg-172:Cloud-TM 5
fg-165:The VIEW Project 3
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications 2
fg-432:2014 Topics in Parallel Computation 2
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters 2
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management 1
VMs count by project leader
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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by project leader
Projectleader Value
Gregor von Laszewski 60
Pierre Riteau 24
ibrahim hallac 13
Andy Li 9
Paolo Romano 5
Shiyong Lu 3
Ilkay Altintas 2
Heru Suhartanto 2
Renato Figueiredo 2
Lavanya Ramakrishnan 1
VMs count by institution
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: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by institution
Institution Value
Indiana University 60
University of Chicago 24
Firat University, Computer Science Department 13
University of Florida, Department of Electrical and Computer Eng 9
INESC ID 5
Wayne State University 3
Universitas Indonesia, Faculty of Computer Science 2
University of Florida 2
UCSD 2
Lawrence Berkeley National Lab 1
Wall time (hours) by project leader
Figure 9: Wall time (hours) by project leader
This chart illustrates proportionate total run times by project leader.
  • Period: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra

System information

System information shows utilization distribution as to VMs count and wall time. Each cluster represents a compute node.

VMs count by systems in Cluster (sierra)
Figure 10: VMs count by systems (compute nodes) in Cluster (sierra)
This column chart represents VMs count among systems.
  • Period: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
Wall time (hours) by systems in Cluster (sierra)
Figure 11: Wall time (hours) by systems (compute nodes) in Cluster (sierra)
This column chart represents wall time among systems.
  • Period: June 01 – June 30, 2014
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra