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© IBM Corporation, 2014 
Visão geral do hardware do servidor 
System z e Linux on z 
Anderson Bassani 
abassani@br.ibm.com 
Especialista técnico de pré-vendas – System z
Apresentação realizada no dia 
04/Setembro/2014 durante o evento de 
premiação do Concurso Mainframe 
2014. 
Local: IBM Tutóia, São Paulo. 
2 © IBM Corporation, 2014
 Servidor IBM Mainframe – System z 
 Linux on z 
 O que o System z faz que outras plataformas 
não conseguem fazer ? 
 Exemplo de um caso real de um Independent 
Software Vendor (ISV) 
3 © IBM Corporation, 2014
4 © IBM Corporation, 2014
5 © IBM Corporation, 2014
zEC12 New Build Radiator-based Air cooled – Under the 
covers (Model H89 and HA1) Front view 
Overhead 
Power Cables 
(option) 
Internal 
Batteries 
(option) 
Power 
Supplies 
2 x Support 
Elements 
PCIe I/O 
drawers 
(Maximum 5 
for zEC12) 
Processor Books 
with Flexible 
Support 
Processors 
(FSPs), PCIe and 
HCA I/O fanouts 
PCIe I/O interconnect 
cables and Ethernet 
cables FSP cage 
controller cards 
Radiator with N+1 
pumps, blowers and 
motors 
Overhead I/O 
feature is a co-req 
for overhead power 
option 
Optional FICON 
LX Fiber Quick 
Connect (FQC) 
not shown 
6 © IBM Corporation, 2014
IBM System z – Virtual Tour 
http://ibmtvdemo.edgesuite.net/servers/z/demos/zEnterprise_Radiator_Product_Tour/index.html 
7 © IBM Corporation, 2014
zBC12 Model H13 – Under the covers 
Internal 
Batteries 
(optional) 
Power 
Supplies 
2 x CPC Drawers, 
Memory & HCAs 
I/O Drawer 
Ethernet cables for 
internal System LAN 
connecting Flexible 
Service Processor 
(FSP) cage controller 
cards (not shown) 
2 x Support 
Elements 
FQC for 
FICON LX 
only 
PCIe I/O 
drawers 
Rear View Front View 
8 © IBM Corporation, 2014
zEC12 Continues the CMOS Mainframe Heritage 
Begun in 1994 
770 MHz 
1.2 GHz 
1.7 GHz 
4.4 GHz 
5.2 GHz 
5.5 GHz 
6000 
5000 
4000 
3000 
2000 
1000 
0 
MHz/GHz 
2000 
z900 
189 nm SOI 
16 Cores 
Full 64-bit 
z/Architecture 
2003 
z990 
nm SOI 130 
32 Cores 
Superscalar 
Modular SMP 
2005 
z9 EC 
nm SOI 90 
54 Cores 
System level 
scaling 
2012 
zEC12 
nm SOI 32 
101 Cores 
OOO and eDRAM 
cache improvements 
PCIe Flash 
Arch extensions 
for scaling 
2010 
z196 
nm SOI 45 
80 Cores 
OOO core 
eDRAM cache 
RAIM memory 
zBX integration 
2008 
z10 EC 
nm SOI 65 
64 Cores 
High-freq core 
3-level cache 
9 © IBM Corporation, 2014
zEnterprise EC12 Book and Frame 
MMCCMM 
MMeemm 
MMeemm 
EC12 Book 
4-Book EC12 System 
10 © IBM Corporation, 2014
MCM @ 1800W 
Water Cooled 
zEC12 Book Layout 
16 DIMMs 
100mm High 
MCM 
Memory 
Memory 
3 DCA Power Supplies 14 DIMMs 
100mm High 
Rear 
I/O 
Fanout 
Cards 
Cooling 
connector 
Front 
11 © IBM Corporation, 2014
zEC12 PU chip, SC chip and MCM 
BOOK 
Side View 
Front View 
Fanouts 
zEC12 
Hexa-core 
PU CHIP 
L4B L4B 
L4C 
L4Q L4Q 
PU 2 PU 1 
PU 0 
SC 1 SC 0 
PU 3 PU 4 PU 5 
MCM 
Core2 
L3C 0 
L3C 1 
GX 
MCU 
Core0 
Core1 
Core3 
Core4 
Core5 
L4 
Q 
L4Q 
V00 
V01 
V10 
V11 
12 © IBM Corporation, 2014
Cores Can be Configured for Different Needs 
13 © IBM Corporation, 2014
Arquitetura – Processadores Especializados 
System z tem muitos processadores, porém cada um executa o seu papel. 
Sistema Operacional 
e Aplicação – Total de 120 Pus 
(Cores) sendo até 101 
processadores configuráveis 
Processadores Especializados 
CP (IBM System z Central Processor) – zOS, zTPF e zVSE 
. zAAP (IBM System z Application Assist Processor) – Java 
. zIIP (IBM System z Integrated Information Processor) – XML e DB2 Calls 
IFL (IBM System z Integrated Facility for Linux) - Linux 
até +2 processadores “Spare” 
I/O 
até 16 SAPs - System Assist Processors 
Placas de I/O (FICON/FCP) ou OSA 
Até 320 Processadores RISC 
. Enviar/Receber requisições de I/O 
(Discos e Fitas) 
Processadores RISC/Power 
. FICON – z/OS, zVSE e zVM / Linux 
. FCP – zVM e Linux 
É um 
“Datacenter in a Box” 
até 16 CPU’s para Criptografia 
- alta escalabilidade para transações SSL 
Integrated Firmware Processor 
14 © IBM Corporation, 2014
Arquitetura – Demais plataformas de 
hardware 
Código de Aplicação 
Microprocessador 
Comparar esse design com 
servidores RISC / Unix ou x86 
Todas as funções de um computador 
por software 
I/O Device 
Drivers 
Criptografia, etc 
OS e Gerenciamento 
de Recurso 
* Monotarefa e 
Monousuário 
* Licenciamento de 
Software 
15 © IBM Corporation, 2014
IBM System z Redbooks 
http://www.redbooks.ibm.com/portals/systemz 
16 © IBM Corporation, 2014
17 © IBM Corporation, 2014
World-Class Server Virtualization: 
System z LPAR and z/VM 
Helping clients reduce costs and improve control of their IT infrastructure 
 Virtualization  Consolidation  Workload management  Automation 
• Logical Partitioning (LPAR) and 
z/VM are complementary 
technologies 
– Both employ great hardware and 
firmware (PR/SM) innovations 
developed over the years 
– Virtualization is a part of the basic 
componentry of the System z 
platform 
• LPAR 
– Host a relatively small number 
of very high-performance 
virtual servers 
– Very low overhead, hardware-based 
virtualization through 
partitioning 
• z/VM 
– Host large numbers of high-performance 
virtual servers 
– Low overhead, hardware-based, 
true virtualization with extreme 
levels of software augmentation 
Together, System z LPAR and 
z/VM technology provide: 
– High performance “on the metal” 
virtual servers for larger, 
performance-critical workloads 
– The ability to provision 1000s of 
additional virtual servers flexibly 
and on demand 
18 © IBM Corporation, 2014
I/O 
Processor 
Design 
Workload 
Management 
Architecture On/Off Capacity 
Security 
on Demand 
Server 
Provisioning 
Partitioning and 
Virtualization 
Software 
Licensing 
Systems 
Management 
19 © IBM Corporation, 2014
Anatomia de um Sistema Linux 
O'Reilly, Charting the Linux Anatomy by Ed Stephenson 
http://www.oreillynet.com/pub/a/oreilly/linux/news/linuxanatomy_0101.html 
20 © IBM Corporation, 2014
Estrutura do Linux no Servidor System z 
Muitos pacotes de software Linux não requerem qualquer alteração de código para ser executado no Linux para System z 
2211 
• 0.28 % platform specific code in GCC 4.1 
• 0.55 % of platform specific code in Glibc 2.5 
• 1.81 % platform specific code in Linux Kernel 2.6.25 
GNU C compiler 
GNU binutils 
Backend 
Backend 
Linux applications 
Linux Kernel GNU runtime environment Backend 
Network Protocols File systems 
Generic drivers 
HW dependent drivers 
Memory 
Mgmt 
Process 
Mgmt 
arch arch 
code 
System z 
dependent code 
Virtualization layer 
System z instruction set and I/O hardware 
Architecture 
independent 
Note: 
Every supported Linux platform 
requires platform specific code 
in GCC, Glibc and the Linux 
kernel 
21 © IBM Corporation, 2014
z zBX x86 
The Linux’s all look the same (on different architectures) 
and have the same Linux kernel source. 
But they have different personalities, qualities, 
features and options derived from the architectures. 
2222 © IBM Corporation, 2014
Versões de Linux atualmente suportadas no System z 
23 © IBM Corporation, 2014
24 © IBM Corporation, 2014
SHARE – www.share.org 
Who We Are 
 SHARE Inc. is an independent, volunteer run association providing 
enterprise technology professionals with continuous education and 
training, valuable professional networking and effective industry 
influence. 
Our Mission 
 SHARE is an independent volunteer-run information technology 
association that provides education, professional networking and 
industry influence. 
 Link da apresentação: 
https://share.confex.com/share/121/webprogram/Session13557.html 
25 © IBM Corporation, 2014
What is Different about the Enterprise Linux Server 
Virtualization enables mixing of high and low priority workloads without penalty 
Enterprise Linux Server 
 Priority Workload 
– No throughput reduction 
– No response time increase 
 Low Priority Workload 
– Soaks up remaining processor minutes 
 Unused processor minutes 1.9% 
z/VM 10VM 32 Core CPU Usage With Physical 
100.00 
90.00 
80.00 
70.00 
60.00 
50.00 
40.00 
30.00 
20.00 
10.00 
0.00 
Donor Workload 
Priority Too much 
resource given 
to Low Priority 
workload 
High Priority 
workload 
gets less 
resource than 
needed 
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 
Time (mins) 
% CPU Usage 
Leading x86 Hypervisor 
 Priority Workload 
– 31% throughput reduction 
– 45% response time increase 
 Low Priority Workload 
– Soaks up more CPU minutes 
 Unused CPU minutes 21.9% 
26 © IBM Corporation, 2014
Priority Workload zVM With 10VM Varying 32 Core Demand % CPU Usage 
Running 
Standalone On System z PR/SM 
100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 
Time (mins) 
% CPU Usage 
High Priority Workload 
Demand Curve 
Usage - FB Standalone 
Priority Workload 
Priority Workload Metrics 
Total Throughput: 9.125M 
Avg Response Time: 140ms 
% CPU Usage 
Time (mins.) 
Capacity Used 
High Priority - 72.2% CPU Minutes 
Unused (wasted) - 27.8% CPU Minutes 
27 © IBM Corporation, 2014
z/VM 10VM 32 Core CPU Usage With Physical 
Priority Workload On System z Does Not Degrade When 
Low Priority Donor Workload Is Added 
100.00 
90.00 
80.00 
70.00 
60.00 
50.00 
40.00 
30.00 
20.00 
10.00 
0.00 
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 
Time (mins.) 
Time (mins) 
% CPU Usage 
Run High Priority 
And Low Priority 
Workloads Together 
Donor Workload 
Priority Workload 
NO 
throughput leakage 
NO 
response time 
increase 
Priority Workload Metrics 
Total Throughput: 9.125M 
Avg Response Time: 140ms 
% CPU Usage 
Capacity Used 
High Priority - 74.2% CPU Minutes 
Low Priority - 23.9% CPU Minutes 
Wasted – 1.9% CPU Minutes 
28 © IBM Corporation, 2014
Priority Workload With ESX Varying % CPU Usage Demand FB 
Running 
Standalone On x86 Hypervisor 
100 
90 
80 
70 
60 
50 
40 
30 
20 
10 
0 
0 
6 
12 
17 
23 
29 
34 
40 
46 
51 
Time (mins.) 
Time (mins) 
% CPU Usage 
High Priority Guest 
CPU Demand 
Usage - FB Standalone 
% CPU Usage 
Capacity Used 
High Priority - 57.5% CPU Minutes 
Unused (wasted) – 42.5% CPU Minutes 
Priority Workload 
Priority Workload Metrics 
Total Throughput: 6.47M 
Avg Response Time: 153ms 
29 © IBM Corporation, 2014
ESX CPU Usage Shared 
Priority Workload On x86 Hypervisor Degrades Severely 
When Low Priority Workload Is Added 
100.00 
90.00 
80.00 
70.00 
60.00 
50.00 
40.00 
30.00 
20.00 
10.00 
0.00 
0 
5 
10 
15 
20 
25 
30 
35 
40 
45 
50 
55 
Time (mins.) 
Time (mins) 
% CPU Usage 
Run High Priority 
And Low Priority 
Workloads Together 
Donor Workload 
Priority Workload 
30.7% 
throughput leakage 
45.1% 
response time increase 
21.9% 
wasted CPU minutes 
% CPU Usage 
Capacity Used 
High Priority - 42.3% CPU Minutes 
Low Priority – 35.8% CPU Minutes 
Wasted – 21.9% CPU Minutes 
Priority Workload Metrics 
Total Throughput: 4.48M 
Avg Response Time: 220ms 
30 © IBM Corporation, 2014
System z Virtualization Enables Mixing Of High And Low 
Priority Workloads Without Penalty 
System z 
Too much 
resource given 
to Low Priority 
workload 
z/VM 10VM 32 Core CPU Usage With Physical 
100.00 
90.00 
80.00 
70.00 
60.00 
50.00 
40.00 
30.00 
20.00 
10.00 
0.00 
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 
Time (mins) 
% CPU Usage 
Donor Workload 
Priority Workload 
 Priority Workload 
 No throughput reduction 
 No response time increase 
 Low Priority Workload 
 Soaks up remaining CPU minutes 
 Unused CPU minutes 1.9% 
x86 with common hypervisor 
 Priority Workload 
 31% throughput reduction 
 45% response time increase 
 Low Priority Workload 
 Soaks up more CPU minutes 
 Unused CPU minutes 21.9% 
High Priority 
workload gets 
less resource 
than needed 
31 © IBM Corporation, 2014
System z Virtualization Enables Mixing Of High And Low 
Priority Workloads Without Penalty 
Too much 
resource given 
to Low Priority 
workload 
System z x86 with common hypervisor 
z/VM 10VM 32 Core CPU Usage With Physical 
100.00 
90.00 
80.00 
70.00 
60.00 
50.00 
40.00 
30.00 
20.00 
10.00 
0.00 
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 
Time (mins) 
% CPU Usage 
Donor Workload 
Priority Workload 
 Perfect workload management 
 Consolidate workloads of different 
priorities on the same platform 
 Full use of available processing 
resource (high utilization) 
 Imperfect workload management 
 Forces workloads to be segregated 
on different servers 
 More servers are required (low 
utilization) 
High Priority 
workload gets 
less resource 
than needed 
32 © IBM Corporation, 2014
Um resumo de 5 principais diferenciais 
33 © IBM Corporation, 2014
34 © IBM Corporation, 2014
Benchmark – MATERA Systems 
Parceria entre IBM e MATERA apresenta número inédito de transações bancárias - See more 
at: 
http://www.matera.com/br/2014/06/02/parceria-entre-ibm-e-matera-apresenta-numero-inedito-de-transacoes-35 © IBM Corporation, 2014
Obrigado. 
@andersonbassani br.linkedin.com/in/andersonbassani 
http://www.slideshare.net/abassani 
36 © IBM Corporation, 2014
37 © IBM Corporation, 2014

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Visão geral do hardware do servidor System z e Linux on z - Concurso Mainframe

  • 1. © IBM Corporation, 2014 Visão geral do hardware do servidor System z e Linux on z Anderson Bassani abassani@br.ibm.com Especialista técnico de pré-vendas – System z
  • 2. Apresentação realizada no dia 04/Setembro/2014 durante o evento de premiação do Concurso Mainframe 2014. Local: IBM Tutóia, São Paulo. 2 © IBM Corporation, 2014
  • 3.  Servidor IBM Mainframe – System z  Linux on z  O que o System z faz que outras plataformas não conseguem fazer ?  Exemplo de um caso real de um Independent Software Vendor (ISV) 3 © IBM Corporation, 2014
  • 4. 4 © IBM Corporation, 2014
  • 5. 5 © IBM Corporation, 2014
  • 6. zEC12 New Build Radiator-based Air cooled – Under the covers (Model H89 and HA1) Front view Overhead Power Cables (option) Internal Batteries (option) Power Supplies 2 x Support Elements PCIe I/O drawers (Maximum 5 for zEC12) Processor Books with Flexible Support Processors (FSPs), PCIe and HCA I/O fanouts PCIe I/O interconnect cables and Ethernet cables FSP cage controller cards Radiator with N+1 pumps, blowers and motors Overhead I/O feature is a co-req for overhead power option Optional FICON LX Fiber Quick Connect (FQC) not shown 6 © IBM Corporation, 2014
  • 7. IBM System z – Virtual Tour http://ibmtvdemo.edgesuite.net/servers/z/demos/zEnterprise_Radiator_Product_Tour/index.html 7 © IBM Corporation, 2014
  • 8. zBC12 Model H13 – Under the covers Internal Batteries (optional) Power Supplies 2 x CPC Drawers, Memory & HCAs I/O Drawer Ethernet cables for internal System LAN connecting Flexible Service Processor (FSP) cage controller cards (not shown) 2 x Support Elements FQC for FICON LX only PCIe I/O drawers Rear View Front View 8 © IBM Corporation, 2014
  • 9. zEC12 Continues the CMOS Mainframe Heritage Begun in 1994 770 MHz 1.2 GHz 1.7 GHz 4.4 GHz 5.2 GHz 5.5 GHz 6000 5000 4000 3000 2000 1000 0 MHz/GHz 2000 z900 189 nm SOI 16 Cores Full 64-bit z/Architecture 2003 z990 nm SOI 130 32 Cores Superscalar Modular SMP 2005 z9 EC nm SOI 90 54 Cores System level scaling 2012 zEC12 nm SOI 32 101 Cores OOO and eDRAM cache improvements PCIe Flash Arch extensions for scaling 2010 z196 nm SOI 45 80 Cores OOO core eDRAM cache RAIM memory zBX integration 2008 z10 EC nm SOI 65 64 Cores High-freq core 3-level cache 9 © IBM Corporation, 2014
  • 10. zEnterprise EC12 Book and Frame MMCCMM MMeemm MMeemm EC12 Book 4-Book EC12 System 10 © IBM Corporation, 2014
  • 11. MCM @ 1800W Water Cooled zEC12 Book Layout 16 DIMMs 100mm High MCM Memory Memory 3 DCA Power Supplies 14 DIMMs 100mm High Rear I/O Fanout Cards Cooling connector Front 11 © IBM Corporation, 2014
  • 12. zEC12 PU chip, SC chip and MCM BOOK Side View Front View Fanouts zEC12 Hexa-core PU CHIP L4B L4B L4C L4Q L4Q PU 2 PU 1 PU 0 SC 1 SC 0 PU 3 PU 4 PU 5 MCM Core2 L3C 0 L3C 1 GX MCU Core0 Core1 Core3 Core4 Core5 L4 Q L4Q V00 V01 V10 V11 12 © IBM Corporation, 2014
  • 13. Cores Can be Configured for Different Needs 13 © IBM Corporation, 2014
  • 14. Arquitetura – Processadores Especializados System z tem muitos processadores, porém cada um executa o seu papel. Sistema Operacional e Aplicação – Total de 120 Pus (Cores) sendo até 101 processadores configuráveis Processadores Especializados CP (IBM System z Central Processor) – zOS, zTPF e zVSE . zAAP (IBM System z Application Assist Processor) – Java . zIIP (IBM System z Integrated Information Processor) – XML e DB2 Calls IFL (IBM System z Integrated Facility for Linux) - Linux até +2 processadores “Spare” I/O até 16 SAPs - System Assist Processors Placas de I/O (FICON/FCP) ou OSA Até 320 Processadores RISC . Enviar/Receber requisições de I/O (Discos e Fitas) Processadores RISC/Power . FICON – z/OS, zVSE e zVM / Linux . FCP – zVM e Linux É um “Datacenter in a Box” até 16 CPU’s para Criptografia - alta escalabilidade para transações SSL Integrated Firmware Processor 14 © IBM Corporation, 2014
  • 15. Arquitetura – Demais plataformas de hardware Código de Aplicação Microprocessador Comparar esse design com servidores RISC / Unix ou x86 Todas as funções de um computador por software I/O Device Drivers Criptografia, etc OS e Gerenciamento de Recurso * Monotarefa e Monousuário * Licenciamento de Software 15 © IBM Corporation, 2014
  • 16. IBM System z Redbooks http://www.redbooks.ibm.com/portals/systemz 16 © IBM Corporation, 2014
  • 17. 17 © IBM Corporation, 2014
  • 18. World-Class Server Virtualization: System z LPAR and z/VM Helping clients reduce costs and improve control of their IT infrastructure  Virtualization  Consolidation  Workload management  Automation • Logical Partitioning (LPAR) and z/VM are complementary technologies – Both employ great hardware and firmware (PR/SM) innovations developed over the years – Virtualization is a part of the basic componentry of the System z platform • LPAR – Host a relatively small number of very high-performance virtual servers – Very low overhead, hardware-based virtualization through partitioning • z/VM – Host large numbers of high-performance virtual servers – Low overhead, hardware-based, true virtualization with extreme levels of software augmentation Together, System z LPAR and z/VM technology provide: – High performance “on the metal” virtual servers for larger, performance-critical workloads – The ability to provision 1000s of additional virtual servers flexibly and on demand 18 © IBM Corporation, 2014
  • 19. I/O Processor Design Workload Management Architecture On/Off Capacity Security on Demand Server Provisioning Partitioning and Virtualization Software Licensing Systems Management 19 © IBM Corporation, 2014
  • 20. Anatomia de um Sistema Linux O'Reilly, Charting the Linux Anatomy by Ed Stephenson http://www.oreillynet.com/pub/a/oreilly/linux/news/linuxanatomy_0101.html 20 © IBM Corporation, 2014
  • 21. Estrutura do Linux no Servidor System z Muitos pacotes de software Linux não requerem qualquer alteração de código para ser executado no Linux para System z 2211 • 0.28 % platform specific code in GCC 4.1 • 0.55 % of platform specific code in Glibc 2.5 • 1.81 % platform specific code in Linux Kernel 2.6.25 GNU C compiler GNU binutils Backend Backend Linux applications Linux Kernel GNU runtime environment Backend Network Protocols File systems Generic drivers HW dependent drivers Memory Mgmt Process Mgmt arch arch code System z dependent code Virtualization layer System z instruction set and I/O hardware Architecture independent Note: Every supported Linux platform requires platform specific code in GCC, Glibc and the Linux kernel 21 © IBM Corporation, 2014
  • 22. z zBX x86 The Linux’s all look the same (on different architectures) and have the same Linux kernel source. But they have different personalities, qualities, features and options derived from the architectures. 2222 © IBM Corporation, 2014
  • 23. Versões de Linux atualmente suportadas no System z 23 © IBM Corporation, 2014
  • 24. 24 © IBM Corporation, 2014
  • 25. SHARE – www.share.org Who We Are  SHARE Inc. is an independent, volunteer run association providing enterprise technology professionals with continuous education and training, valuable professional networking and effective industry influence. Our Mission  SHARE is an independent volunteer-run information technology association that provides education, professional networking and industry influence.  Link da apresentação: https://share.confex.com/share/121/webprogram/Session13557.html 25 © IBM Corporation, 2014
  • 26. What is Different about the Enterprise Linux Server Virtualization enables mixing of high and low priority workloads without penalty Enterprise Linux Server  Priority Workload – No throughput reduction – No response time increase  Low Priority Workload – Soaks up remaining processor minutes  Unused processor minutes 1.9% z/VM 10VM 32 Core CPU Usage With Physical 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 Donor Workload Priority Too much resource given to Low Priority workload High Priority workload gets less resource than needed 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 Time (mins) % CPU Usage Leading x86 Hypervisor  Priority Workload – 31% throughput reduction – 45% response time increase  Low Priority Workload – Soaks up more CPU minutes  Unused CPU minutes 21.9% 26 © IBM Corporation, 2014
  • 27. Priority Workload zVM With 10VM Varying 32 Core Demand % CPU Usage Running Standalone On System z PR/SM 100 90 80 70 60 50 40 30 20 10 0 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 Time (mins) % CPU Usage High Priority Workload Demand Curve Usage - FB Standalone Priority Workload Priority Workload Metrics Total Throughput: 9.125M Avg Response Time: 140ms % CPU Usage Time (mins.) Capacity Used High Priority - 72.2% CPU Minutes Unused (wasted) - 27.8% CPU Minutes 27 © IBM Corporation, 2014
  • 28. z/VM 10VM 32 Core CPU Usage With Physical Priority Workload On System z Does Not Degrade When Low Priority Donor Workload Is Added 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 Time (mins.) Time (mins) % CPU Usage Run High Priority And Low Priority Workloads Together Donor Workload Priority Workload NO throughput leakage NO response time increase Priority Workload Metrics Total Throughput: 9.125M Avg Response Time: 140ms % CPU Usage Capacity Used High Priority - 74.2% CPU Minutes Low Priority - 23.9% CPU Minutes Wasted – 1.9% CPU Minutes 28 © IBM Corporation, 2014
  • 29. Priority Workload With ESX Varying % CPU Usage Demand FB Running Standalone On x86 Hypervisor 100 90 80 70 60 50 40 30 20 10 0 0 6 12 17 23 29 34 40 46 51 Time (mins.) Time (mins) % CPU Usage High Priority Guest CPU Demand Usage - FB Standalone % CPU Usage Capacity Used High Priority - 57.5% CPU Minutes Unused (wasted) – 42.5% CPU Minutes Priority Workload Priority Workload Metrics Total Throughput: 6.47M Avg Response Time: 153ms 29 © IBM Corporation, 2014
  • 30. ESX CPU Usage Shared Priority Workload On x86 Hypervisor Degrades Severely When Low Priority Workload Is Added 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 0 5 10 15 20 25 30 35 40 45 50 55 Time (mins.) Time (mins) % CPU Usage Run High Priority And Low Priority Workloads Together Donor Workload Priority Workload 30.7% throughput leakage 45.1% response time increase 21.9% wasted CPU minutes % CPU Usage Capacity Used High Priority - 42.3% CPU Minutes Low Priority – 35.8% CPU Minutes Wasted – 21.9% CPU Minutes Priority Workload Metrics Total Throughput: 4.48M Avg Response Time: 220ms 30 © IBM Corporation, 2014
  • 31. System z Virtualization Enables Mixing Of High And Low Priority Workloads Without Penalty System z Too much resource given to Low Priority workload z/VM 10VM 32 Core CPU Usage With Physical 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 Time (mins) % CPU Usage Donor Workload Priority Workload  Priority Workload  No throughput reduction  No response time increase  Low Priority Workload  Soaks up remaining CPU minutes  Unused CPU minutes 1.9% x86 with common hypervisor  Priority Workload  31% throughput reduction  45% response time increase  Low Priority Workload  Soaks up more CPU minutes  Unused CPU minutes 21.9% High Priority workload gets less resource than needed 31 © IBM Corporation, 2014
  • 32. System z Virtualization Enables Mixing Of High And Low Priority Workloads Without Penalty Too much resource given to Low Priority workload System z x86 with common hypervisor z/VM 10VM 32 Core CPU Usage With Physical 100.00 90.00 80.00 70.00 60.00 50.00 40.00 30.00 20.00 10.00 0.00 1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 Time (mins) % CPU Usage Donor Workload Priority Workload  Perfect workload management  Consolidate workloads of different priorities on the same platform  Full use of available processing resource (high utilization)  Imperfect workload management  Forces workloads to be segregated on different servers  More servers are required (low utilization) High Priority workload gets less resource than needed 32 © IBM Corporation, 2014
  • 33. Um resumo de 5 principais diferenciais 33 © IBM Corporation, 2014
  • 34. 34 © IBM Corporation, 2014
  • 35. Benchmark – MATERA Systems Parceria entre IBM e MATERA apresenta número inédito de transações bancárias - See more at: http://www.matera.com/br/2014/06/02/parceria-entre-ibm-e-matera-apresenta-numero-inedito-de-transacoes-35 © IBM Corporation, 2014
  • 36. Obrigado. @andersonbassani br.linkedin.com/in/andersonbassani http://www.slideshare.net/abassani 36 © IBM Corporation, 2014
  • 37. 37 © IBM Corporation, 2014

Editor's Notes

  1. Central Processor zSeries Application Assist Processor zSeries Integrated Information Processor Integrated Facility for Linux Coupling Facility System Assist Processor
  2. A side by side comparison that shows the dramatic difference in the abilities of System z to maintain high priority workload SLAs. ESX is unable to handle both high priority and low priority workloads without a huge adverse effect on the high priority work. The net result: wasted CPU. The only ESX solution that maintains the high priority SLAs requires segregating the high priority work into serves that are high priority workloads only. Intel/VMware is not able to maintain the SLA of the high priority workload when lower priority workload is added Severe throughput and response time degradation With Intel/VMware, the only practical solution to maintain SLAs of high priority workloads is to deploy workloads into separate environments For example, most Intel/VMware deployments separate Dev environments from Production environments The need to maintain multiple environments directly affects the total cost of the solution Fixed size Intel boxes can force additional boxes to support “spill over” high priority work There may be spare capacity on the additional machine, but nothing else can run on it without impacting the primary workload’s SLA Additional environment needed to deliver lower priority workloads