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Hybrid Cloud for Increased
Scientific Agility

Matt Herreras
Systems Engineering
Josh Simons
Office of the CTO

© 2014 VMware Inc. All rights reserved.
Our Goal

Increase agility and decrease time to solution
for scientists and engineers using
virtualization and cloud technologies

2
Problem Statements
• Fundamental tension between end-users and administrators
– End-user need for compute environments customized and optimized for

their specific requirements
– Administrator need to deploy a secure, cost-effective, standard compute

infrastructure
• Which leads to
– Disconnected islands of compute with security risk and cost

inefficiencies
• Current HPC job scheduling approaches are not agile
– Job queuing delays can increase time to solution
– May overcommit physical resources on cluster nodes

• Which leads to
– Reduced cluster throughput and inherent inefficiencies

3
How Cloud and Virtualization Can Help
• Use virtualized HPC cloud infrastructure to simultaneously support the

needs of both scientist / engineers and administrators
• Leverage inherent virtual platform capabilities to increase cluster

throughput and increase efficiency
• Enable rapid end-user self-provisioning of new compute resources
• Provide policy-based enforcement of fair-share resource usage in

multi-tenant environments
• Automate secure, compliant policy-based workload separation
• Add fault recovery and avoidance capabilities to protect applications

from hardware failure, and to increase cluster throughput

4
End-User Customization
Support groups with disparate software requirements
Including root access

App A

App B

OS A

OS B

virtualizationOS
Standard layer

virtualizationOS
Standard layer

virtualizationOS
Standard layer

hardware

hardware

hardware
Workload Separation
Secure multi-tenancy

Fault isolation
…and sometimes performance

App A

App B

OS A

OS B

virtualization layer

virtualization layer

virtualization layer

hardware

hardware

hardware
Virtual Machine Live Migration
Use Resources More Efficiently
Avoid killing or pausing jobs
App C
Increase overall throughput
OS A

App A
OS A

App B

App D

OS B

OS A

OS

OS

virtualization layer
hardware

virtualization layer
hardware

App E
OS

OS B

virtualization layer
hardware
Workload Agility

app

app

app

OS

app

app

OS

OS
OS

app

operating system

virtualization layer

virtualization layer

hardware

hardware

hardware
Secure Private and Public Cloud for HPC
Research Group 1

Research Group m

Users

IT

Public Clouds

VMware vCloud Automation Center
User Portals

Blueprints

Security
VMware vCAC API

Research Cluster 1

Research Cluster n
VMware
vShield

Programmatic
Control and
Integrations

VMware
vCenter Server

VMware
vCenter Server

VMware
vCenter Server

VMware vSphere

VMware vSphere

VMware vSphere
Summary
• New approach to delivering HPC resources using cloud and

virtualization technologies that can uniquely address the conflicting
needs of end-users and administrators
• Move away from traditional static job placement to a more

flexible, dynamic environment to raise throughput and increase
scientific agility
• VMware continues to drive virtualization platform improvements to

address an expanding range of HPC workloads
• Just a taste offered here. See papers and blog listed in Resources for

detailed information on workload performance, platform tuning, etc.

11
Resources
• CTO HPC blog:
– http://cto.vmware.com/tag/hpc

• ACM Operating Systems Review paper:
– Virtualizing High Performance Computing

• HPCvirt 2011 workshop papers:
– Performance Evaluation of HPC Benchmarks on VMware's ESX Server
• http://labs.vmware.com/publications/performance-evaluation-of-hpc-benchmarks-on-vmwares-

esxi-server

– Virtualizing Performance Counters
• http://labs.vmware.com/publications/virtualizing-performance-counters

• Latency whitepaper:
– Best Practices for Performance Tuning of Latency-Sensitive Workloads in

vSphere VMs
• http://www.vmware.com/files/pdf/techpaper/VMW-Tuning-Latency-Sensitive-Workloads.pdf
Resources
• Big Data / Hadoop technical whitepaper
– Virtualized Hadoop Performance with VMware vSphere 5.1
• http://www.vmware.com/resources/techresources/10360

• InfiniBand performance
– RDMA Performance in Virtual Machines with QDR InfiniBand on vSphere 5
• http://labs.vmware.com/publications/ib-researchnote-apr2012

• Paravirtualized RMDA
– Toward a Paravirtual RDMA Device for VMware ESXi Guests
• http://labs.vmware.com/publications/vrdma-vmtj-winter2012
Thank You
Matt Herreras
mherreras@vmware.com
Josh Simons
simons@vmware.com

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VMware: Hybrid Cloud for Increased Scientific Agility

  • 1. Hybrid Cloud for Increased Scientific Agility Matt Herreras Systems Engineering Josh Simons Office of the CTO © 2014 VMware Inc. All rights reserved.
  • 2. Our Goal Increase agility and decrease time to solution for scientists and engineers using virtualization and cloud technologies 2
  • 3. Problem Statements • Fundamental tension between end-users and administrators – End-user need for compute environments customized and optimized for their specific requirements – Administrator need to deploy a secure, cost-effective, standard compute infrastructure • Which leads to – Disconnected islands of compute with security risk and cost inefficiencies • Current HPC job scheduling approaches are not agile – Job queuing delays can increase time to solution – May overcommit physical resources on cluster nodes • Which leads to – Reduced cluster throughput and inherent inefficiencies 3
  • 4. How Cloud and Virtualization Can Help • Use virtualized HPC cloud infrastructure to simultaneously support the needs of both scientist / engineers and administrators • Leverage inherent virtual platform capabilities to increase cluster throughput and increase efficiency • Enable rapid end-user self-provisioning of new compute resources • Provide policy-based enforcement of fair-share resource usage in multi-tenant environments • Automate secure, compliant policy-based workload separation • Add fault recovery and avoidance capabilities to protect applications from hardware failure, and to increase cluster throughput 4
  • 5. End-User Customization Support groups with disparate software requirements Including root access App A App B OS A OS B virtualizationOS Standard layer virtualizationOS Standard layer virtualizationOS Standard layer hardware hardware hardware
  • 6. Workload Separation Secure multi-tenancy Fault isolation …and sometimes performance App A App B OS A OS B virtualization layer virtualization layer virtualization layer hardware hardware hardware
  • 8. Use Resources More Efficiently Avoid killing or pausing jobs App C Increase overall throughput OS A App A OS A App B App D OS B OS A OS OS virtualization layer hardware virtualization layer hardware App E OS OS B virtualization layer hardware
  • 9. Workload Agility app app app OS app app OS OS OS app operating system virtualization layer virtualization layer hardware hardware hardware
  • 10. Secure Private and Public Cloud for HPC Research Group 1 Research Group m Users IT Public Clouds VMware vCloud Automation Center User Portals Blueprints Security VMware vCAC API Research Cluster 1 Research Cluster n VMware vShield Programmatic Control and Integrations VMware vCenter Server VMware vCenter Server VMware vCenter Server VMware vSphere VMware vSphere VMware vSphere
  • 11. Summary • New approach to delivering HPC resources using cloud and virtualization technologies that can uniquely address the conflicting needs of end-users and administrators • Move away from traditional static job placement to a more flexible, dynamic environment to raise throughput and increase scientific agility • VMware continues to drive virtualization platform improvements to address an expanding range of HPC workloads • Just a taste offered here. See papers and blog listed in Resources for detailed information on workload performance, platform tuning, etc. 11
  • 12. Resources • CTO HPC blog: – http://cto.vmware.com/tag/hpc • ACM Operating Systems Review paper: – Virtualizing High Performance Computing • HPCvirt 2011 workshop papers: – Performance Evaluation of HPC Benchmarks on VMware's ESX Server • http://labs.vmware.com/publications/performance-evaluation-of-hpc-benchmarks-on-vmwares- esxi-server – Virtualizing Performance Counters • http://labs.vmware.com/publications/virtualizing-performance-counters • Latency whitepaper: – Best Practices for Performance Tuning of Latency-Sensitive Workloads in vSphere VMs • http://www.vmware.com/files/pdf/techpaper/VMW-Tuning-Latency-Sensitive-Workloads.pdf
  • 13. Resources • Big Data / Hadoop technical whitepaper – Virtualized Hadoop Performance with VMware vSphere 5.1 • http://www.vmware.com/resources/techresources/10360 • InfiniBand performance – RDMA Performance in Virtual Machines with QDR InfiniBand on vSphere 5 • http://labs.vmware.com/publications/ib-researchnote-apr2012 • Paravirtualized RMDA – Toward a Paravirtual RDMA Device for VMware ESXi Guests • http://labs.vmware.com/publications/vrdma-vmtj-winter2012