Usage Report sierra

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

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	874
fg-224:Nimbus Auto Scale	615
fg-40:Inca	242
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	129
fg-298:FRIEDA: Flexible Robust Intelligent Elastic Data Management	73
fg-82:FG General Software Development	53
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	30
fg-168:Next Generation Sequencing in the Cloud	20
fg-97:FutureGrid and Grid‘5000 Collaboration	18
fg-244:Course: Data Center Scale Computing	14
fg-316:Course: Cloud Computing Class - third edition	14
fg-362:Course: Cloud Computing and Storage (UF)	12
fg-372:Mobile Device Computation Offloading over SocialVPNs	11
fg-172:Cloud-TM	10
fg-264:Course: 1st Workshop on bioKepler Tools and Its Applications	9
fg-215:FuturGrid Directory Entry	4
fg-389:Investigating the Apache Big Data Stack	4
fg-334:Tutorial on Cloud Computing and Software-defined Networking	3
fg-381:Authentication of Mobile Cloud Computing	3
fg-380:FutureGrid Support for BigData MOOC	3
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	3
fg-364:Course: EEL6871 Autonomic Computing	3
fg-10:TeraGrid XD TIS(Technology Insertion Service) Technology Evaluation Laboratory	2
fg-363:Course: Applied Cyberinfrastructure concepts	2
fg-301:Course: Advanced Networking class University of Colorado	1
fg-314:User-friendly tools to play with cloud platforms	1
fg-315:Biome representational in silico karyotyping	1
fg-243:Applied Cyberinfrastructure concepts	1
fg-355:Course: Data Center Scale Computing Class	1
fg-69:Investigate provenance collection for MapReduce	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: October 01 – October 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	931
Pierre Riteau	615
Shava Smallen	242
Randall Sobie	129
Lavanya Ramakrishnan	73
Jan Balewski	30
Jonathan Klinginsmith	20
Mauricio Tsugawa	18
Massimo Canonico	15
Dirk Grunwald	15
Renato Figueiredo	14
Andy Li	12
Paolo Romano	10
Ilkay Altintas	9
ibrahim hallac	4
Nirav Merchant	3
Shane Green	3
Meng Han	3
Jose Fortes	3
Abhilash Koppula	3
John Lockman	2
Aaron Lee	1
Jiaan Zeng	1
Eric Keller	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: October 01 – October 31, 2013
• Cloud(IaaS): nimbus, openstack, eucalyptus
• Hostname: sierra

VMs count by institution

Institution	Value
Indiana University	951
University of Chicago	615
UC San Diego	242
University of Victoria	129
Lawrence Berkeley National Lab	73
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	30
University of Florida	21
University of Piemonte Orientale, Computer Science Department	15
Univ. of Colorado	14
University of Florida, Department of Electrical and Computer Eng	12
University of Florida, Electrical and Computer Engineering	11
INESC ID	10
UCSD	9
Firat University, Computer Science Department	4
University of Florida, Advanced Computing and Information System	3
University of Florida, ACIS	3
Colorado Technical University, Computer Science and Engineering	3
Indiana University, Community Grids Lab	3
University of Texas at Austin	2
University of Arizona, Arizona Research Laboratories, School of	2
Washington University at St Louis, School of Medicine, Departmen	1
University of Colorado	1
Computer Science	1
Univ. of Colorado, Boulder, Computer Science	1
University of Arizona	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

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