Usage Report sierra

• Period: April 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)

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: April 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)

Figure 2: Users count

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

• Period: April 01 – June 30, 2014
• 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: April 01 – June 30, 2014
• 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: April 01 – June 30, 2014
• 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: April 01 – June 30, 2014
• 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: April 01 – June 30, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	139
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	113
fg-224:Nimbus Auto Scale	86
fg-389:Investigating the Apache Big Data Stack	73
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications	39
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management	32
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing	21
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud	16
fg-362:Course: Cloud Computing and Storage (UF)	13
fg-172:Cloud-TM	7
fg-404:Enhancing Usage of cloud Infrastructure	6
fg-384:Graph/network analysis Resource manager	4
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	4
fg-165:The VIEW Project	3
fg-82:FG General Software Development	2
fg-432:2014 Topics in Parallel Computation	2
fg-136:JGC-DataCloud-2012 paper experiments	2

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: April 01 – June 30, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	141
Jan Balewski	113
Pierre Riteau	86
ibrahim hallac	73
Ilkay Altintas	39
Lavanya Ramakrishnan	32
Theron Voran	21
Javier Diaz Montes	16
Andy Li	13
Paolo Romano	7
Rahul Limbole	6
Tirtha Bhattacharjee	4
Renato Figueiredo	4
Shiyong Lu	3
Mats Rynge	2
Heru Suhartanto	2

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: April 01 – June 30, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by institution

Institution	Value
Indiana University	141
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	113
University of Chicago	86
Firat University, Computer Science Department	73
UCSD	39
Lawrence Berkeley National Lab	32
University of Colorado at Boulder, Computer Science Department	21
Rutgers	16
University of Florida, Department of Electrical and Computer Eng	13
INESC ID	7
Veermata Jijabai Technological Institute Mumbai, Computer Scienc	6
University of Florida	4
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	4
Wayne State University	3
USC	2
Universitas Indonesia, Faculty of Computer Science	2

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: April 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.

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

This column chart represents VMs count among systems.

• Period: April 01 – June 30, 2014
• 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: April 01 – June 30, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra