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Usage Report india

  • Period: July 01 – July 31, 2013
  • Hostname: india.futuregrid.org
  • Services: 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: July 01 – July 31, 2013

  • Cloud(IaaS): openstack, eucalyptus

  • Hostname: india

  • 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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india

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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by project
Project Value
fg-82:FG General Software Development 769
fg-3:Survey of Open-Source Cloud Infrastructure using FutureGrid Testbed 468
fg-316:Course: Cloud Computing Class - third edition 283
fg-42:SAGA 108
fg-201:ExTENCI Testing, Validation, and Performance 65
fg-52:Cost-Aware Cloud Computing 34
fg-143:Course: Cloud Computing for Data Intensive Science Class 31
fg-294:Predicting economic activities using social media 26
fg-179:GPCloud: Cloud-based Automatic Repair of Real-World Software Bugs 19
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters 14
fg-306:Eucalyptus and Openstack 7
fg-136:JGC-DataCloud-2012 paper experiments 4
fg-213:Course: Cloud Computing class - second edition 2
fg-253:Characterizing Performance of Infrastructure Clouds 1
fg-97:FutureGrid and Grid‘5000 Collaboration 1
fg-249:Large Scale Computing Infrastructure 2012 Master class 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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by project leader
Projectleader Value
Gregor von Laszewski 769
Tak-Lon Wu 468
Massimo Canonico 285
Shantenu Jha 108
Preston Smith 65
David Lowenthal 34
Judy Qiu 31
Shuyuan Deng 26
Claire Le Goues 19
Renato Figueiredo 14
Sharath S 7
Mats Rynge 4
Paul Marshall 1
Sergio Maffioletti 1
Mauricio Tsugawa 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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by institution
Institution Value
Indiana University 1268
University of Piemonte Orientale, Computer Science Department 283
Louisiana State University 108
Purdue University 65
University of Arizona 34
University of Wisconsin -Milwaukee 26
University of Virginia 19
University of Florida 15
Visvesvaraya Technological University, Computer science organiza 7
USC 4
University of Piemonte Orientale 2
University of Zurich 1
University of Colorado at Boulder 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: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india

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 (india)
Figure 10: VMs count by systems (compute nodes) in Cluster (india)
This column chart represents VMs count among systems.
  • Period: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
Wall time (hours) by systems in Cluster (india)
Figure 11: Wall time (hours) by systems (compute nodes) in Cluster (india)
This column chart represents wall time among systems.
  • Period: July 01 – July 31, 2013
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india