Usage Report india

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

VMs count by project

Project	Value
fg-7:SDCI NMI Improvement: Pegasus: From Concept to Execution- - -Mapping Scientific Workflows onto the National Cyberinfrastructure	59
fg-13:FutureGrid Systems Development and Prototyping	52
fg-367:Optimize rapid deployment and updating of VM images at the remote compute cluster	36
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud	32
fg-168:Next Generation Sequencing in the Cloud	25
fg-418:Course: Cloud Computing Class - fourth edition	17
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students	17
fg-384:Graph/network analysis Resource manager	13
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	12
fg-224:Nimbus Auto Scale	7
fg-175:GridProphet, A workflow execution time prediction system for the Grid	7
fg-136:JGC-DataCloud-2012 paper experiments	6
fg-362:Course: Cloud Computing and Storage (UF)	6
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course	5
fg-316:Course: Cloud Computing Class - third edition	5
fg-382:Reliability Analysis using Hadoop and MapReduce	4
fg-314:User-friendly tools to play with cloud platforms	2
fg-214:Mining Interactions between Network Community Structure and Information Diffusion	2
fg-1:Peer-to-peer overlay networks and applications in virtual networks and virtual clusters	2
fg-20:Development of an information service for FutureGrid	1
fg-165:The VIEW Project	1
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System	1
fg-248:Geophysical fluid dynamics education and research	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: May 01 – May 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Mats Rynge	65
Sharif Islam	52
Jan Balewski	36
Javier Diaz Montes	32
Jonathan Klinginsmith	25
Massimo Canonico	24
Judy Qiu	22
Tirtha Bhattacharjee	13
Gregor von Laszewski	12
Thomas Fahringer	7
Pierre Riteau	7
Andy Li	6
Carl Walasek	4
Yong-Yeol Ahn	2
Renato Figueiredo	2
Shiyong Lu	1
Glenn Flierl	1
Hyungro Lee	1
Jessie Walker	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: May 01 – May 31, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
Indiana University	92
USC	65
Massachusetts Institute of Technology, Laboratory for Nuclear Sc	36
Rutgers	32
University of Piemonte Orientale, Computer Science Department	24
Indiana University, School of Informatics and Computing	22
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	13
University of Chicago	7
University of Innsbruck	7
University of Florida, Department of Electrical and Computer Eng	6
University of the Sciences , Mathematics, Physics, and Statistic	4
University of Florida	2
Massachusetts Institute of Technology	1
Wayne State University	1
University of Arkansas at Pine Bluff , Computer Science	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

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