Usage Report india

• Period: January 01 – March 31, 2014
• 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: January 01 – March 31, 2014

• 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: January 01 – March 31, 2014
• 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: January 01 – March 31, 2014
• 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: January 01 – March 31, 2014
• 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: January 01 – March 31, 2014
• 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: January 01 – March 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project

Project	Value
fg-172:Cloud-TM	74
fg-374:Course: Cloud and Distributed Computing	41
fg-239:Community Comparison of Cloud frameworks	39
fg-316:Course: Cloud Computing Class - third edition	35
fg-249:Large Scale Computing Infrastructure 2012 Master class	4
fg-149:Metagenome analysis of benthic marine invertebrates	3
fg-340:Research: Parallel Computing for Machine Learning	3
fg-165:The VIEW Project	2
fg-3:Survey of Open-Source Cloud Infrastructure using FutureGrid Testbed	2
fg-401:Evaluation of HPC Applications on Cloud Resources	2
fg-179:GPCloud: Cloud-based Automatic Repair of Real-World Software Bugs	2
fg-398:Ensuring Data Security and Accountability for Data Sharing in the Cloud	1
fg-384:Graph/network analysis Resource manager	1
fg-253:Characterizing Performance of Infrastructure Clouds	1
fg-42:SAGA	1
fg-82:FG General Software Development	1
fg-136:JGC-DataCloud-2012 paper experiments	1
fg-369:Testing of Network Facing Services for the Open Science Grid	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: January 01 – March 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Paolo Romano	74
Philip Rhodes	41
Yong Zhao	39
Massimo Canonico	35
Sergio Maffioletti	4
Jason Kwan	3
Wilson Rivera	3
Claire Le Goues	2
Shiyong Lu	2
Brock Palen	2
Tak-Lon Wu	2
Mats Rynge	1
Igor Sfiligoi	1
Tirtha Bhattacharjee	1
Sandip Bhagat	1
Gregor von Laszewski	1
Shantenu Jha	1
Paul Marshall	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: January 01 – March 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
INESC ID	74
University of Mississippi, Department of Computer Science	41
University of Electronic Science and Technology	39
University of Piemonte Orientale, Computer Science Department	35
University of Zurich	4
Indiana University	3
University of Puerto Rico, Electrical and Computer Emgineering D	3
University of Utah	3
Wayne State University	2
U of Michigan / Xsede, CAEN HPC	2
University of Virginia	2
USC	1
University of Colorado at Boulder	1
Louisiana State University	1
Veermata Jijabai Technological University, Mumbai India. , Veerm	1
University of California San Diego, Physics Department	1
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

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