Usage Report india

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

VMs count by project

Project	Value
fg-174:RAIN: FutureGrid Dynamic provisioning Framework	384
fg-20:Development of an information service for FutureGrid	192
fg-384:Graph/network analysis Resource manager	114
fg-380:FutureGrid Support for BigData MOOC	81
fg-405:Spring 2014 CSCI-B649 Cloud Computing MOOC for residential and online students	52
fg-368:Course: Fall 2013 P434 Distributed Systems Undergraduate Course	19
fg-348:Scalable Framework for Agent-Based Computing	17
fg-168:Next Generation Sequencing in the Cloud	14
fg-13:FutureGrid Systems Development and Prototyping	13
fg-333:Intrusion Detection and Prevention for Infrastructure as a Service Cloud Computing System	10
fg-172:Cloud-TM	2
fg-314:User-friendly tools to play with cloud platforms	1
fg-362:Course: Cloud Computing and Storage (UF)	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: September 01 – September 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by project leader

Projectleader	Value
Gregor von Laszewski	384
Hyungro Lee	192
Tirtha Bhattacharjee	114
Abhilash Koppula	81
Judy Qiu	71
Scott McCaulay	17
Jonathan Klinginsmith	14
Sharif Islam	13
Jessie Walker	10
Paolo Romano	2
Massimo Canonico	1
Andy Li	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: September 01 – September 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india

VMs count by institution

Institution	Value
Indiana University	603
Virginia Bioinformatics Institute, Virginia Polytechnic Institut	114
Indiana University, Community Grids Lab	81
Indiana University, School of Informatics and Computing	71
Indiana University, UITS	17
University of Arkansas at Pine Bluff , Computer Science	10
INESC ID	2
University of Piemonte Orientale, Computer Science Department	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: September 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: September 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: September 01 – September 30, 2014
• Cloud(IaaS): openstack, eucalyptus
• Hostname: india