Usage Report india

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

VMs count by project

Project	Value
fg-418:Course: Cloud Computing Class - fourth edition	122
fg-13:FutureGrid Systems Development and Prototyping	52
fg-314:User-friendly tools to play with cloud platforms	35
fg-224:Nimbus Auto Scale	21
fg-384:Graph/network analysis Resource manager	13
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	13
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System	12
fg-168:Next Generation Sequencing in the Cloud	11
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course	9
fg-136:JGC-DataCloud-2012 paper experiments	6
fg-316:Course: Cloud Computing Class - third edition	5
fg-288:Federating HPC, Cyberinfrastructure and Clouds using CometCloud	4
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students	3
fg-175:GridProphet, A workflow execution time prediction system for the Grid	2
fg-432:2014 Topics in Parallel Computation	2
fg-382:Reliability Analysis using Hadoop and MapReduce	2
fg-165:The VIEW Project	2
fg-214:Mining Interactions between Network Community Structure and Information Diffusion	1
fg-362:Course: Cloud Computing and Storage (UF)	1
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: June 01 – June 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Massimo Canonico	162
Sharif Islam	52
Pierre Riteau	21
Tirtha Bhattacharjee	13
Gregor von Laszewski	13
Judy Qiu	12
Jessie Walker	12
Jonathan Klinginsmith	11
Mats Rynge	6
Javier Diaz Montes	4
Thomas Fahringer	2
Carl Walasek	2
Heru Suhartanto	2
Shiyong Lu	2
Shantenu Jha	1
Andy Li	1
Yong-Yeol Ahn	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: June 01 – June 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
University of Piemonte Orientale, Computer Science Department	162
Indiana University	77
University of Chicago	21
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	13
University of Arkansas at Pine Bluff , Computer Science	12
Indiana University, School of Informatics and Computing	12
USC	6
Rutgers	4
Wayne State University	2
University of Innsbruck	2
Universitas Indonesia, Faculty of Computer Science	2
University of the Sciences , Mathematics, Physics, and Statistic	2
Louisiana State University	1
University of Florida, Department of Electrical and Computer Eng	1

Figure 9: Wall time (hours) by project leader

This chart illustrates proportionate total run times by project leader.

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