Usage Report india

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

VMs count by project

Project	Value
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students	218
fg-384:Graph/network analysis Resource manager	15
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	11
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System	8
fg-20:Development of an information service for FutureGrid	6
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course	6
fg-13:FutureGrid Systems Development and Prototyping	4
fg-201:ExTENCI Testing, Validation, and Performance	2
fg-248:Geophysical fluid dynamics education and research	2
fg-432:2014 Topics in Parallel Computation	2
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud	2
fg-380:FutureGrid Support for BigData MOOC	1
fg-314:User-friendly tools to play with cloud platforms	1
fg-175:GridProphet, A workflow execution time prediction system for the 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: August 01 – August 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Judy Qiu	224
Tirtha Bhattacharjee	15
Gregor von Laszewski	11
Jessie Walker	8
Hyungro Lee	6
Sharif Islam	4
Glenn Flierl	2
Heru Suhartanto	2
Javier Diaz Montes	2
Preston Smith	2
Massimo Canonico	1
Thomas Fahringer	1
Abhilash Koppula	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: August 01 – August 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
Indiana University, School of Informatics and Computing	224
Indiana University	21
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	15
University of Arkansas at Pine Bluff , Computer Science	8
Purdue University	2
Massachusetts Institute of Technology	2
Universitas Indonesia, Faculty of Computer Science	2
Rutgers	2
Indiana University, Community Grids Lab	1
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: August 01 – August 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: August 01 – August 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: August 01 – August 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india