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Usage Report india

  • Period: July 01 – July 31, 2014
  • 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, 2014

  • 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, 2014
  • 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, 2014
  • 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, 2014
  • 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, 2014
  • 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, 2014
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by project
Project Value
fg-316:Course: Cloud Computing Class - third edition 41
fg-384:Graph/network analysis Resource manager 31
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System 22
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course 16
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters 14
fg-13:FutureGrid Systems Development and Prototyping 13
fg-174:RAIN: FutureGrid Dynamic provisioning Framework 10
fg-224:Nimbus Auto Scale 7
fg-432:2014 Topics in Parallel Computation 7
fg-20:Development of an information service for FutureGrid 7
fg-418:Course: Cloud Computing Class - fourth edition 5
fg-314:User-friendly tools to play with cloud platforms 4
fg-136:JGC-DataCloud-2012 paper experiments 3
fg-175:GridProphet, A workflow execution time prediction system for the Grid 2
fg-165:The VIEW Project 2
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students 2
fg-168:Next Generation Sequencing in the Cloud 1
fg-362:Course: Cloud Computing and Storage (UF) 1
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud 1
fg-45:Experiments in Distributed Computing 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, 2014
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by project leader
Projectleader Value
Massimo Canonico 50
Tirtha Bhattacharjee 31
Jessie Walker 22
Judy Qiu 18
Renato Figueiredo 14
Sharif Islam 13
Gregor von Laszewski 10
Hyungro Lee 7
Heru Suhartanto 7
Pierre Riteau 7
Mats Rynge 3
Thomas Fahringer 2
Shiyong Lu 2
Shantenu Jha 1
Jonathan Klinginsmith 1
Andy Li 1
Javier Diaz Montes 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, 2014
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india
VMs count by institution
Institution Value
University of Piemonte Orientale, Computer Science Department 50
Indiana University 31
Virginia Bioinformatics Institute, Virginia Polytechnic Institut 31
University of Arkansas at Pine Bluff , Computer Science 22
Indiana University, School of Informatics and Computing 18
University of Florida 14
University of Chicago 7
Universitas Indonesia, Faculty of Computer Science 7
USC 3
Wayne State University 2
University of Innsbruck 2
Louisiana State University 1
Rutgers 1
University of Florida, Department of Electrical and Computer Eng 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, 2014
  • 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, 2014
  • 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, 2014
  • Cloud(IaaS): openstack, eucalyptus
  • Hostname: india