Usage Report sierra

• Period: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	824
fg-40:Inca	227
fg-224:Nimbus Auto Scale	222
fg-172:Cloud-TM	113
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	93
fg-168:Next Generation Sequencing in the Cloud	41
fg-362:Course: Cloud Computing and Storage (UF)	39
fg-389:Investigating the Apache Big Data Stack	38
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory	30
fg-82:FG General Software Development	14
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	14
fg-355:Course: Data Center Scale Computing Class	14
fg-334:Tutorial on Cloud Computing and Software-defined Networking	10
fg-384:Graph/network analysis Resource manager	10
fg-341:Course: Parallel Computing	6
fg-374:Course: Cloud and Distributed Computing	6
fg-97:FutureGrid and Grid‘5000 Collaboration	6
fg-363:Course: Applied Cyberinfrastructure concepts	6
fg-233:CINET - A Cyber-Infrastructure for Network Science	5
fg-364:Course: EEL6871 Autonomic Computing	5
fg-369:Testing of Network Facing Services for the Open Science Grid	4
fg-380:FutureGrid Support for BigData MOOC	4
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications	4
fg-382:Reliability Analysis using Hadoop and MapReduce	4
fg-215:FuturGrid Directory Entry	4
fg-371:Characterizing Infrastructure Cloud Performance for Scientific Computing	3
fg-243:Applied Cyberinfrastructure concepts	3
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	1
fg-175:GridProphet, A workflow execution time prediction system for the Grid	1
fg-316:Course: Cloud Computing Class - third edition	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: November 01 – November 30, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	842
Shava Smallen	227
Pierre Riteau	222
Paolo Romano	113
Randall Sobie	93
Jonathan Klinginsmith	41
Andy Li	39
ibrahim hallac	38
John Lockman	30
Dirk Grunwald	14
Jan Balewski	14
Jose Fortes	10
Tirtha Bhattacharjee	10
Nirav Merchant	9
Philip Rhodes	6
Mauricio Tsugawa	6
Wilson Rivera	6
Keith Bisset	5
Meng Han	5
Ilkay Altintas	4
Igor Sfiligoi	4
Carl Walasek	4
Abhilash Koppula	4
Theron Voran	3
Massimo Canonico	1
Thomas Fahringer	1
Renato Figueiredo	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: November 01 – November 30, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by institution

Institution	Value
Indiana University	883
UC San Diego	227
University of Chicago	222
INESC ID	113
University of Victoria	93
University of Florida, Department of Electrical and Computer Eng	39
Firat University, Computer Science Department	38
University of Texas at Austin	30
Univ. of Colorado, Boulder, Computer Science	14
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	14
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	10
University of Florida, Advanced Computing and Information System	10
University of Florida	7
University of Mississippi, Department of Computer Science	6
University of Puerto Rico, Electrical and Computer Emgineering D	6
University of Arizona, Arizona Research Laboratories, School of	6
University of Florida, ACIS	5
Virginia Tech	5
University of the Sciences , Mathematics, Physics, and Statistic	4
University of California San Diego, Physics Department	4
Indiana University, Community Grids Lab	4
UCSD	4
University of Arizona	3
University of Colorado at Boulder, Computer Science Department	3
University of Innsbruck	1
University of Piemonte Orientale, Computer Science Department	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: November 01 – November 30, 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: November 01 – November 30, 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: November 01 – November 30, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra