Prelegenci przedstawią w skrócie charakterystykę rozwiązania serwerowego HDS 8000 firmy ERICSSON, opartego o architekturę Rack Scale Design (RSD). Poruszone zostaną zagadnienia związanie z przewagami takiego rozwiązania (zarówno od strony technicznej jak i użytkowej) nad dotychczas dostępnymi, i korzyściami które są tego efektem.

1. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 1
Ericsson HDS8000
server platform
based on intel’s rsd
zmierzch klasycznych architektur
serwerowych
September 26th, KRAKÓW

2. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 2
The Advent of HyperScale Computing:
Google. Amazon. Facebook.
designed to provide a single, massively
scalable compute architecture
start small, infrastructure will expand
as demand grows

3. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 3
Challenges and opportunities
Infrastructure silos with low utilization
DC as a differentiator
- Web scale flexibility,
performance and
economics
Workloads and
data growth is sky
rocketing
Low function velocity – slow Time To Market
Weeks / months

4. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 4
Hyperscale
Datacenter
OperationalEfficiency
Asset Efficiency
Operator
Operator
Google
Amazon
Facebook
Operators
Operator
The Advent of HyperScale Computing

5. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 5
Cloud giants has taken the
next quantum leap
60%
30%
15%
Data center operators
have led an efficiency
revolution through the
use of virtualization
solutions
Cloud giants have
jumped to a new level
of efficiency with
hyper-scale data
center operations
reaching utilization as
high as 65%
Traditional Server
Hyperscale Strategic Data Center
Virtualized Data Center
Enterprisedatacenterutilization

6. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 6
Hyperscale datacenter metrics

7. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 7
The Problem:
HyperSCale Vendors (google, amazon,
Facebook) are Not Selling Their Secrets
The answer:
Industrialized hyperscale datacenter:
Intel® rack scale design
Ericsson HDS8000

8. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 8
HOW DO WE DO THIS?
Ericsson HDS8000

9. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 9
› HW infrastructure: HW and management
› Software-defined HW for all workloads
› NFV/Telco, IT and OSS/BSS workloads
› Using Intel RSD technology
Hyperscale Datacenter
System 8000

10. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 10
Intel and Ericsson - realizing the software defined
infrastructure vision based on Intel RSD
Ericsson Make hyperscale available for every industry
with Cloud Giants economics
Ericsson and Intel CEOs at
MWC 2013

11. Intel Confidential 11
Data Center Challenges
Infrastructure has not kept up with increasing business demands
Business Needs
• Reduce operational and capital expenses.
• Deliver new services in minutes, not months.
• Optimize data center based on real-time analytics.
• Address application workload needs with agility.
• Scale capacity without interruption.
Less than 50%
server utilization2
Inefficiency
Data growth doubles
every 18 months1
Growth
Agility
New services can
take a week or more
to provision1
1 Worldwide and Regional Public IT Cloud Services 2013–2017 Forecast. IDC (August 2013) idc.com/getdoc.jsp?containerId=242464
2 IDC’s Digital Universe Study, sponsored by EMC, December 2012

12. Intel Confidential 12
Today’s Architecture
• Proprietary and preconfigured
• Upgrade as a system
• Limited flexibility

13. Intel Confidential 13
Intel ® Rack Scale Design: The Framework
1. Pooled systems 2. Pod management 3. Network fabric 4. Pod-wide storage
Modular scalable management architecture
Pod-wide Management
Scalability
Pod wide storage Network fabric

14. Intel Confidential 14
Intel® Rack Scale Design
INCREASED
PERFORMANCE/$
HYPERSCALE
AGILITY
• Black Box to Glass box
• Avoid outages, over subscription and under performance through
HW specific insights and telemetry
• Eliminates stranded resources
• Software configurable capacity coupled with high performance
interconnects to increase utilization and reduce TCO
• Self Allocating Storage provides IT with improved performance/$
IMPROVES DATA
CENTER
OPERATIONS
• Software Defined Infrastructure: Shape shift capacity and capability
with modular, open architecture to meet the application
• Tailor performance to meet application SLAs by selecting from
pooled compute, storage & network resources
• Faster Time to Market
Industry standards based hyperscale solution for CSPs and the Telecommunications industry

15. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 15
15
HW disaggregation
Current server
›CPU, Disc, Ram and NIC (>80% of server
cost) on same card in same chassis
›Server has a fixed configuration – need to
fit all workloads
›Whole server need to be changed at the
same time even though different
components have different lifecycles
Future server
›CPU, Disc, RAM and NIC on different
sleds
›CPU, Disc, RAM, and NIC can be
changed according to individual lifecycles
›HW can be configured dynamically for
better utilization and performance
CPU
RAM
Disc
NIC
CPU
RAM Disc
NIC

16. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 16
High resource utilization
Today’s servers
CPU Mem Disks NIC Acc CPU Mem Disks NIC Acc
Disaggregated Datacenter
~80% of HW CAPEX & power consumption
Workload usage
Un-used hardware
CPUs
Disks
Memory
NICs
Accelerators
x86 x86x86
x86

17. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 17
Memory
Pool
Storage
Pool
Networking
Pool
Accelerator
Pool
CPU
Pool
RESOURCE POOLING
Private CloudTelecom Cloud Commercial Cloud
HDS Command Center & RSD
Network
functions
OSS/BSS, Media & IT
functions
Commercial XaaS
offerings
Workload optimized, dynamically provisioned datacenter hardware
Optical Backplane

18. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 18
Software defined infrastructure
(SDI)
Disaggregate and pool (RSD) Software defined composition
Command center
Optical interconnect
CPUs
NICs
RAMs
Disks

19. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 19
SDI resource management
HDS Command Center
HDS 8000 Command Center
Independent of virtualization
environment
vPOD 1
vPOD 2
Seamless management and
integration of Ericsson and 3PP
infrastructure
Manage vPODs across 3PP and
Ericsson HW
vPOD vPOD vPOD
VIM VIM VIM
Complete analytical platform,
monitoring and recording every
aspect of the infrastructure
Real-time analytics and off-line
data mining
VM VM VM

20. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 20
Software defined infrastructure
lean and agile data center

21. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 21
Bare metal as a service
Customer A
Customer C
Customer B
› Next phase of cloud computing
› Leverage RSD and hardware
orchestration to fully customize
servers.
› Move both legacy &
performance critical workloads
to the cloud.
› Cloud economics for bare-metal
infrastructure
› Consolidate internal legacy silos

22. PLNOG 2016 INTEL and ERICSSON | © Ericsson AB 2016 | 2016-09-26 | Page 22