Usage Report sierra

• Period: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project

Project	Value
fg-40:Inca	240
fg-362:Course: Cloud Computing and Storage (UF)	126
fg-172:Cloud-TM	101
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	97
fg-82:FG General Software Development	80
fg-389:Investigating the Apache Big Data Stack	20
fg-384:Graph/network analysis Resource manager	18
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	16
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing	14
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	9
fg-382:Reliability Analysis using Hadoop and MapReduce	9
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory	8
fg-175:GridProphet, A workflow execution time prediction system for the Grid	7
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management	4
fg-136:JGC-DataCloud-2012 paper experiments	3
fg-316:Course: Cloud Computing Class - third edition	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: January 01 – January 31, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project leader

Projectleader	Value
Shava Smallen	240
Andy Li	126
Paolo Romano	101
Randall Sobie	97
Gregor von Laszewski	80
ibrahim hallac	20
Tirtha Bhattacharjee	18
Renato Figueiredo	16
Theron Voran	14
Carl Walasek	9
Jan Balewski	9
John Lockman	8
Thomas Fahringer	7
Lavanya Ramakrishnan	4
Mats Rynge	3
Massimo Canonico	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: January 01 – January 31, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by institution

Institution	Value
UC San Diego	240
University of Florida, Department of Electrical and Computer Eng	126
INESC ID	101
University of Victoria	97
Indiana University	80
Firat University, Computer Science Department	20
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	18
University of Florida	16
University of Colorado at Boulder, Computer Science Department	14
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	9
University of the Sciences , Mathematics, Physics, and Statistic	9
University of Texas at Austin	8
University of Innsbruck	7
Lawrence Berkeley National Lab	4
USC	3
University of Piemonte Orientale, Computer Science Department	2

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: January 01 – January 31, 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: January 01 – January 31, 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: January 01 – January 31, 2014
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra