Usage Report india

• Period: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	405
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students	272
fg-20:Development of an information service for FutureGrid	205
fg-384:Graph/network analysis Resource manager	160
fg-380:FutureGrid Support for BigData MOOC	82
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course	41
fg-316:Course: Cloud Computing Class - third edition	41
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System	40
fg-13:FutureGrid Systems Development and Prototyping	30
fg-348:Scalable Framework for Agent-Based Computing	17
fg-168:Next Generation Sequencing in the Cloud	15
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	14
fg-432:2014 Topics in Parallel Computation	9
fg-224:Nimbus Auto Scale	7
fg-314:User-friendly tools to play with cloud platforms	6
fg-418:Course: Cloud Computing Class - fourth edition	5
fg-136:JGC-DataCloud-2012 paper experiments	3
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud	3
fg-175:GridProphet, A workflow execution time prediction system for the Grid	3
fg-201:ExTENCI Testing, Validation, and Performance	2
fg-362:Course: Cloud Computing and Storage (UF)	2
fg-165:The VIEW Project	2
fg-172:Cloud-TM	2
fg-248:Geophysical fluid dynamics education and research	2
fg-45:Experiments in Distributed Computing	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, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	405
Judy Qiu	313
Hyungro Lee	205
Tirtha Bhattacharjee	160
Abhilash Koppula	82
Massimo Canonico	52
Jessie Walker	40
Sharif Islam	30
Scott McCaulay	17
Jonathan Klinginsmith	15
Renato Figueiredo	14
Heru Suhartanto	9
Pierre Riteau	7
Thomas Fahringer	3
Mats Rynge	3
Javier Diaz Montes	3
Glenn Flierl	2
Andy Li	2
Shiyong Lu	2
Preston Smith	2
Paolo Romano	2
Shantenu Jha	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, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
Indiana University	655
Indiana University, School of Informatics and Computing	313
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	160
Indiana University, Community Grids Lab	82
University of Piemonte Orientale, Computer Science Department	52
University of Arkansas at Pine Bluff , Computer Science	40
Indiana University, UITS	17
University of Florida	14
Universitas Indonesia, Faculty of Computer Science	9
University of Chicago	7
USC	3
University of Innsbruck	3
Rutgers	3
INESC ID	2
Purdue University	2
Massachusetts Institute of Technology	2
Wayne State University	2
University of Florida, Department of Electrical and Computer Eng	2
Louisiana State University	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

• Period: July 01 – September 30, 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: July 01 – September 30, 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: July 01 – September 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india