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Usage Report sierra

  • Period: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013

  • 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by project
Project Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework 373
fg-40:Inca 148
fg-355:Course: Data Center Scale Computing Class 43
fg-389:Investigating the Apache Big Data Stack 38
fg-54:Investigating cloud computing as a solution for analyzing particle physics data 37
fg-362:Course: Cloud Computing and Storage (UF) 27
fg-363:Course: Applied Cyberinfrastructure concepts 17
fg-214:Mining Interactions between Network Community Structure and Information Diffusion 15
fg-82:FG General Software Development 13
fg-374:Course: Cloud and Distributed Computing 10
fg-172:Cloud-TM 10
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management 9
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing 7
fg-384:Graph/network analysis Resource manager 5
fg-175:GridProphet, A workflow execution time prediction system for the Grid 4
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster 3
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters 3
fg-382:Reliability Analysis using Hadoop and MapReduce 3
fg-97:FutureGrid and Grid‘5000 Collaboration 3
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory 3
fg-372:Mobile Device Computation Offloading over SocialVPNs 3
fg-168:Next Generation Sequencing in the Cloud 2
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications 2
fg-233:CINET - A Cyber-Infrastructure for Network Science 1
fg-340:Research: Parallel Computing for Machine Learning 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: December 01 – December 23, 2013
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by project leader
Projectleader Value
Gregor von Laszewski 386
Shava Smallen 148
Dirk Grunwald 43
ibrahim hallac 38
Randall Sobie 37
Andy Li 27
Nirav Merchant 17
Yong-Yeol Ahn 15
Philip Rhodes 10
Paolo Romano 10
Lavanya Ramakrishnan 9
Theron Voran 7
Renato Figueiredo 6
Tirtha Bhattacharjee 5
Thomas Fahringer 4
John Lockman 3
Jan Balewski 3
Carl Walasek 3
Mauricio Tsugawa 3
Ilkay Altintas 2
Jonathan Klinginsmith 2
Keith Bisset 1
Wilson Rivera 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: December 01 – December 23, 2013
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra
VMs count by institution
Institution Value
Indiana University 403
UC San Diego 148
Univ. of Colorado, Boulder, Computer Science 43
Firat University, Computer Science Department 38
University of Victoria 37
University of Florida, Department of Electrical and Computer Eng 27
University of Arizona, Arizona Research Laboratories, School of 17
University of Mississippi, Department of Computer Science 10
INESC ID 10
Lawrence Berkeley National Lab 9
University of Colorado at Boulder, Computer Science Department 7
University of Florida 6
Virginia Bioinformatics Institute, Virginia Polytechnic Institut 5
University of Innsbruck 4
University of Texas at Austin 3
University of Florida, Electrical and Computer Engineering 3
Massachusetts Institute of Technology, Laboratory for Nuclear Sc 3
University of the Sciences , Mathematics, Physics, and Statistic 3
UCSD 2
University of Puerto Rico, Electrical and Computer Emgineering D 1
Virginia Tech 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • 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: December 01 – December 23, 2013
  • Cloud(IaaS): nimbus, openstack, eucalyptus
  • Hostname: sierra