Usage Report india

• Period: July 01 – September 30, 2013
• Hostname: india.futuregrid.org
• Services: 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: July 01 – September 30, 2013

• Cloud(IaaS): openstack, eucalyptus

• Hostname: india

• 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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

Distribution

Figure 5: VM count by wall time

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

• Period: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project

Project	Value
fg-172:Cloud-TM	828
fg-82:FG General Software Development	803
fg-3:Survey of Open-Source Cloud Infrastructure using FutureGrid Testbed	554
fg-316:Course: Cloud Computing Class - third edition	529
fg-143:Course: Cloud Computing for Data Intensive Science Class	357
fg-42:SAGA	174
fg-201:ExTENCI Testing, Validation, and Performance	66
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	60
fg-52:Cost-Aware Cloud Computing	34
fg-179:GPCloud: Cloud-based Automatic Repair of Real-World Software Bugs	28
fg-294:Predicting economic activities using social media	26
fg-97:FutureGrid and Grid‘5000 Collaboration	18
fg-54:Investigating cloud computing as a solution for analyzing particle physics data	13
fg-306:Eucalyptus and Openstack	11
fg-213:Course: Cloud Computing class - second edition	10
Others	8
fg-253:Characterizing Performance of Infrastructure Clouds	8
fg-136:JGC-DataCloud-2012 paper experiments	6
fg-20:Development of an information service for FutureGrid	3
fg-60:Wide area distributed file system for MapReduce applications on FutureGrid platform	2
fg-241:Course: Science Cloud Summer School 2012	2
fg-249:Large Scale Computing Infrastructure 2012 Master class	1
fg-132:Large scale data analytics	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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Paolo Romano	828
Gregor von Laszewski	805
Tak-Lon Wu	554
Massimo Canonico	539
Judy Qiu	357
Shantenu Jha	174
Preston Smith	66
Renato Figueiredo	60
David Lowenthal	34
Claire Le Goues	28
Shuyuan Deng	26
Mauricio Tsugawa	18
Randall Sobie	13
Sharath S	11
Paul Marshall	8
Others	8
Mats Rynge	6
Hyungro Lee	3
Lizhe Wang	2
Yogesh Simmhan	1
Sergio Maffioletti	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: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
Indiana University	1721
INESC ID	828
University of Piemonte Orientale, Computer Science Department	529
Louisiana State University	174
University of Florida	78
Purdue University	66
University of Arizona	34
University of Virginia	28
University of Wisconsin -Milwaukee	26
University of Victoria	13
Visvesvaraya Technological University, Computer science organiza	11
University of Piemonte Orientale	10
Others	8
University of Colorado at Boulder	8
USC	6
University of Southern California	1
University of Zurich	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

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 (india)

This column chart represents VMs count among systems.

• Period: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

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

This column chart represents wall time among systems.

• Period: July 01 – September 30, 2013
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india