Usage Report india

• Period: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project

Project	Value
fg-172:Cloud-TM	246
fg-374:Course: Cloud and Distributed Computing	114
fg-316:Course: Cloud Computing Class - third edition	76
fg-165:The VIEW Project	44
fg-239:Community Comparison of Cloud frameworks	41
fg-395:Stor	40
fg-213:Course: Cloud Computing class - second edition	29
fg-143:Course: Cloud Computing for Data Intensive Science Class	28
fg-3:Survey of Open-Source Cloud Infrastructure using FutureGrid Testbed	16
fg-179:GPCloud: Cloud-based Automatic Repair of Real-World Software Bugs	16
fg-340:Research: Parallel Computing for Machine Learning	7
fg-398:Ensuring Data Security and Accountability for Data Sharing in the Cloud	6
fg-149:Metagenome analysis of benthic marine invertebrates	6
fg-82:FG General Software Development	5
fg-401:Evaluation of HPC Applications on Cloud Resources	5
fg-233:CINET - A Cyber-Infrastructure for Network Science	5
fg-201:ExTENCI Testing, Validation, and Performance	4
fg-249:Large Scale Computing Infrastructure 2012 Master class	4
fg-384:Graph/network analysis Resource manager	2
fg-42:SAGA	2
fg-20:Development of an information service for FutureGrid	1
fg-369:Testing of Network Facing Services for the Open Science Grid	1
fg-253:Characterizing Performance of Infrastructure Clouds	1
fg-136:JGC-DataCloud-2012 paper experiments	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 13 – May 13, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Paolo Romano	246
Philip Rhodes	114
Massimo Canonico	105
Shiyong Lu	44
Yong Zhao	41
Subrat Sharma	40
Judy Qiu	28
Claire Le Goues	16
Tak-Lon Wu	16
Wilson Rivera	7
Sandip Bhagat	6
Jason Kwan	6
Brock Palen	5
Keith Bisset	5
Gregor von Laszewski	5
Sergio Maffioletti	4
Preston Smith	4
Shantenu Jha	2
Tirtha Bhattacharjee	2
Mats Rynge	1
Hyungro Lee	1
Paul Marshall	1
Igor Sfiligoi	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 13 – May 13, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
INESC ID	246
University of Mississippi, Department of Computer Science	114
University of Piemonte Orientale, Computer Science Department	76
Indiana University	50
Wayne State University	44
University of Electronic Science and Technology	41
University of Colorado, Computer Science Department	40
University of Piemonte Orientale	29
University of Virginia	16
University of Puerto Rico, Electrical and Computer Emgineering D	7
University of Utah	6
Veermata Jijabai Technological University, Mumbai India. , Veerm	6
Virginia Tech	5
U of Michigan / Xsede, CAEN HPC	5
Purdue University	4
University of Zurich	4
Louisiana State University	2
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	2
USC	1
University of California San Diego, Physics Department	1
University of Colorado at Boulder	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: November 13 – May 13, 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: November 13 – May 13, 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: November 13 – May 13, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india