Usage Report sierra

• Period: August 01 – August 31, 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)

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: August 01 – August 31, 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)

Figure 2: Users count

This time series chart represents daily active user count for cloud services and shows historical changes during the period.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

Distribution

Figure 5: VM count by wall time

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

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project

Project	Value
fg-40:Inca	239
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	230
fg-172:Cloud-TM	210
fg-224:Nimbus Auto Scale	104
fg-82:FG General Software Development	87
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	80
fg-52:Cost-Aware Cloud Computing	33
fg-168:Next Generation Sequencing in the Cloud	27
fg-214:Mining Interactions between Network Community Structure and Information Diffusion	20
fg-132:Large scale data analytics	10
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications	9
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management	7
fg-175:GridProphet, A workflow execution time prediction system for the Grid	5
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	3
fg-244:Course: Data Center Scale Computing	1
fg-356:IPython pipelines for training life sciences researchers on NGS data analysis	1
fg-69:Investigate provenance collection for MapReduce	1
fg-180:STAMPEDE	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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	317
Shava Smallen	239
Paolo Romano	210
Pierre Riteau	104
Randall Sobie	80
David Lowenthal	33
Jonathan Klinginsmith	27
Yong-Yeol Ahn	20
Yogesh Simmhan	10
Ilkay Altintas	9
Lavanya Ramakrishnan	7
Thomas Fahringer	5
Renato Figueiredo	3
Dan Gunter	1
Dirk Grunwald	1
Jiaan Zeng	1
Todd Blevins	1

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: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by institution

Institution	Value
Indiana University	364
UC San Diego	239
INESC ID	210
University of Chicago	104
University of Victoria	80
University of Arizona	33
University of Southern California	10
UCSD	9
Lawrence Berkeley National Lab	7
University of Innsbruck	5
University of Florida	3
Univ. of Colorado	1
Indiana University, Depts of Biology and Molecular and Cellular	1
LBNL	1
Computer Science	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: August 01 – August 31, 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.

Figure 10: VMs count by systems (compute nodes) in Cluster (sierra)

This column chart represents VMs count among systems.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

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

This column chart represents wall time among systems.

• Period: August 01 – August 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra