CERN and Huawei, one of the companies that is working with T-Systems to develop a prototype for HNSciCloud, in the context of CERN openlab, will jointly work on improvements to OpenStack for running large scale scientific workloads. This collaboration was announced at the CERN openlab open day on 21st September 2017. Over 90% of CERN’s compute resources are delivered using OpenStack. OpenStack provides software for private and public clouds and CERN and Huawei are among the major contributors to the open source project (Huawei is a platinum member of the OpenStack foundation). With the needs of LHC computing in future years, efficient and flexible delivery of compute resources will be key. That's why CERN and Huawei have joined forces to jointly work on improvements to OpenStack for running large scale scientific workloads. The developments will be done within the OpenStack community following the standard open source processes. Focus areas will be: Flexible resource management Quotas Bare metal allocation Compute cells Changes, resulting from this activity, will then be included into the CERN private cloud and Huawei’s private and public cloud offerings.

1. 1
Huawei : Clouds at Scale
openlab open day
21st September 2017
Tim Bell

2. 2
Project Context
• OpenStack provides software for private and public clouds
• CERN and Huawei are contributors to the open source project
• Huawei is a platinum member of the OpenStack foundation
Tim Bell

3. 3
Project Context
• Over 90% of CERN’s compute resources are delivered using OpenStack
• >280,000 cores across two data centres in Geneva and Budapest
Tim Bell

4. 4
Project Context
• With the needs of LHC computing in future years, efficient and flexible
delivery of compute resources will be key
• Computing needs in 2023 estimated at 60x the current capacity (HL-LHC)
Tim Bell
0
500000
1000000
1500000
2000000
2500000
3000000
3500000
4000000
4500000
5000000
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
WLCG%CPU%Growth
Tier2
Tier1
CERN
20%%Growth
Current%state
2008<12%linear
0"
20"
40"
60"
80"
100"
120"
140"
160"
Run"1" Run"2" Run"3" Run"4"
GRID"
ATLAS"
CMS"
LHCb"
ALICE"
Compute: Growth > x60
What we think is
affordable unless we
do something
differently

5. 5
Project Context
• CERN has been using the T-Systems Open Telekom Cloud for public cloud
evaluations
• OTC is based on Huawei’s FusionSphere
• Tests using 1,000 VMs demonstrated all 4 experiment workloads running successfully
• Further investigations are now underway within the Helix Nebula project
Tim Bell

6. 6
Project Description
• CERN and Huawei will work jointly on improvements to OpenStack for
running large scale scientific workloads
• Fellows starting in Autumn 2017
• The developments will be done within the OpenStack community following
the standard open source processes
• Focus areas are
• Flexible resource management
• Quotas
• Bare metal allocation
• Compute cells
• Changes will then be included into the CERN private cloud and Huawei’s
private and public cloud offerings
Tim Bell

7. 7
Thank You
tim.bell@cern.ch
Tim Bell

8. 8
Project Context
• OpenStack provides software for private and public clouds
• CERN and Huawei are contributors to the open source project
• Huawei is a platinum member of the OpenStack foundation
• Over 90% of CERN’s compute resources are delivered using OpenStack
• >280,000 cores across two data centres in Geneva and Budapest
• With the needs of LHC computing in future years, efficient and flexible
delivery of compute resources will be key
• Computing needs in 2023 estimated at 60x the current capacity (HL-LHC)
• CERN has been using the T-Systems Open Telekom Cloud for public cloud
evaluations
• OTC is based on Huawei’s FusionSphere
• Tests using 1,000 VMs demonstrated all 4 experiment workloads running successfully
Tim Bell