Тенденции развития современных Центров Обработки...

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Data Center Evolution to Cloud towards infrastructure intelligence Paul Perez VP & CTO Data Center Group Cisco Systems November 2012

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Transcript of Тенденции развития современных Центров Обработки...

Page 1: Тенденции развития современных Центров Обработки Данных

Data Center Evolution to Cloudtowards infrastructure intelligence

Paul PerezVP & CTO Data Center GroupCisco Systems

November 2012

Page 2: Тенденции развития современных Центров Обработки Данных

Ramping the Next Technology CycleOn the cusp of a New Productivity-Driven IT Wave

Rate of Growth for IT Spending Relative to GDP Growth Normalized to Average

Source: CIMI Corporation

130%

120%

110%

100%

90%

80%

70%

60%

MAINFRAME PC/LAN INTERNET

New TechCycle?

Productivity

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Macro Data Center Trends

Patterns and Analytics

Patterns and Analytics

Hybrid CloudHybrid CloudThe Virtual EnterpriseThe Virtual Enterprise

IT ComplexityIT Complexity

Context Awareness

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Leadership in Routing, Switching, Security & MobilityLeadership in Routing, Switching, Security & Mobility

CollaborationCollaboration

Data Center / Virtualization / CloudData Center / Virtualization / Cloud

Architectures for Business TransformationArchitectures for Business Transformation

VideoVideo

“Working to solve our customers biggest challenges”

1

2

3

4

5

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Cisco’s Data Center Vision

PUBLIC PRIVATE

HYBRID

Media Others

GovernmentHealthcare

INDIVIDUALSINDIVIDUALS BUSINESSBUSINESS

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Strategy: Building the Bridge to a World of Many Clouds

CONSOLIDATIONCONSOLIDATION VIRTUALIZATIONVIRTUALIZATION AUTOMATIONAUTOMATION PRIVATE UTILITYPRIVATE UTILITY CLOUD MARKETSCLOUD MARKETS

OptimizeOptimize ScaleScale InterInter--CloudCloudSimplifySimplify EnterpriseEnterprise--Class CloudsClass Clouds

RISC to x86RISC to x86FCoEFCoE

N5KN5K--N2KN2K

Nexus 1K/vPathNexus 1K/vPathUCS Expanded UCS Expanded

MemoryMemoryVMVM--FEXFEX

UCS CentralUCS CentralCisco ONECisco ONE

CloupiaCloupia

MultiMulti--TenancyTenancyVariableVariable--Cost ModelCost Model

DemandDemand--side provisioningside provisioningSelfSelf--Service PortalService Portal

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The Compute Model Influences the Network Model

HolisticHolistic

ComputeCompute Storage Storage Services ServicesL2,

L3

FabricFabric

Application PerspectiveApplication Perspective

Switching Switching NetworkNetwork

ApplicationApplicationApplicationApplication

DistributedDistributed

UCS Manager

XML API Standard APIs

UCS

FabricComputing

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XML XML APIAPISTANDARDSTANDARD

API’SAPI’S

Cisco UCS 6296 XP

Fabric Extenders(I/O modules)

IndustryStandard APIs

Fabric Computing: Cisco UCS Architecture

Blade Form Factor

Rack Form Factor

FABRIC INTERCONNECTS

UCS Manager

COMPUTE

Applications

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UCS Design Goal: Single Unified System

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Source:IDC Q4’11 Server Forecaster

Cisco Unified Computing System

•• 15,80015,800 unique UCS Customers

•• #3 market share #3 market share in x86 blades (#2 in the US)

•• 2,6002,600 UCS channel partners

•• 44 ISVs 44 ISVs writing to UCS API (and growing)

•• Ten of thousands Ten of thousands of supported applications

•• 65+ world record 65+ world record performance benchmarks

•• Numerous industry awards Numerous industry awards and certifications

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Cisco Performance Leadership Example: Oracle

23 World Record Oracle-based Benchmarks!

EnterpriseApplications

MiddleWare

Database

OperatingSystem

Virtualization

Oracle E-BusinessSuite, PeopleSoft,

Siebel, JD Edwards,Oracle Fusion

Oracle WebLogic,Oracle SOA Suite,

OracleAS

Oracle Database,Oracle TimesTen

Oracle Linux

Oracle VM

Business User

BU

SIN

ES

S SER

VIC

ES

Oracle Application Standard Benchmark 12.1.3

Payroll Batch – Extra Large ModelOrder to Cash Batch – Large Model

B200 M3

Siebel 8.1.1.410,000 Users

World Record Benchmarks World Record Benchmarks World Record Benchmarks World Record Benchmarks Performance Proof PointsPerformance Proof PointsPerformance Proof PointsPerformance Proof Points

Oracle Application Standard Benchmark 12.1.2

Payroll Batch – Extra Large ModelOrder to Cash Batch – Large Model

B200 M3

JD Edwards 9.1Oracle VM

2,000 Users

PeopleSoft 9.0North American Payroll255,319 Payments/Hour

Oracle NoSQL 1,244,550 Mix Operations/Sec.

TPC-C Two Socket1,609,186.39 tpmC $0.47/tpmC

C240 M3

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Cisco Integrated Solutions Portfolio

Smart Smart SolutionsSolutions

Vblock

FLEXPOD

VXI

RISC Migration

ApplicationsApplications

Operating System& Hypervisor

Operating System& Hypervisor

ManagementManagement

Vertical Solution Focus

Vertical Solution Focus HealthcareHealthcare Financial ServicesFinancial Services ManufacturingManufacturing RetailRetail

Enterprise Apps Databases Business Analytics/ Big Data

Virtual Desktop

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UCS: Embedded Automation

StorageSME

ServerSME

NetworkSME

Subject matter expertdefine policies

Uplink port configuration, VLAN, VSAN, QoS, and EtherChannels

Server port configuration including LAN and SAN settings

Network interface card (NIC) configuration: MAC address,VLAN, and QoS settings;host bus adapter HBA configuration: worldwide names (WWNs), VSANs, and bandwidth constraints;and firmware revisions

Unique user ID (UUID), firmware revisions,and RAID controller settings

Service profile assigned to server, chassis slot, or pool

Upl ink port c onfiguration, VLAN, VSAN, QoS, and EtherChannels

Serv er port configuration including LAN and SAN settings

Network in terface c ard (NIC) c onfiguration: MAC addres s,VLAN, and QoS settings ;hos t bus adapter HBA configuration: worldwide nam es (WWNs), VSANs, and bandwidth cons tra in ts ;and fi rm ware rev isions

Unique us er ID (UUID), fi rm ware revisions,and RAID control ler settings

Serv ic e profi le ass igned to server, c has s is slot, or pool

Upl ink port c onfiguration, VLAN, VSAN, QoS, and EtherChannels

Serv er port configuration including LAN and SAN settings

Network in terface c ard (NIC) c onfiguration: MAC addres s,VLAN, and QoS settings ;hos t bus adapter HBA configuration: worldwide nam es (WWNs), VSANs, and bandwidth cons tra in ts ;and fi rm ware rev isions

Unique us er ID (UUID), fi rm ware revisions,and RAID control ler settings

Serv ic e profi le ass igned to server, c has s is slot, or pool

Upl ink port c onfiguration, VLAN, VSAN, QoS, and EtherChannels

Serv er port configuration including LAN and SAN settings

Network in terface c ard (NIC) c onfiguration: MAC addres s,VLAN, and QoS settings ;hos t bus adapter HBA configuration: worldwide nam es (WWNs), VSANs, and bandwidth cons tra in ts ;and fi rm ware rev isions

Unique us er ID (UUID), fi rm ware revisions,and RAID control ler settings

Serv ic e profi le ass igned to server, c has s is slot, or pool

Upl ink port c onfiguration, VLAN, VSAN, QoS, and EtherChannels

Serv er port configuration including LAN and SAN settings

Network in terface c ard (NIC) c onfiguration: MAC addres s,VLAN, and QoS settings ;hos t bus adapter HBA configuration: worldwide nam es (WWNs), VSANs, and bandwidth cons tra in ts ;and fi rm ware rev isions

Unique us er ID (UUID), fi rm ware revisions,and RAID control ler settings

Serv ic e profi le ass igned to server, c has s is slot, or pool

Policies used to create service profile templates

Service profile templates create service profiles

Associating service profiles with hardwareconfigures servers automatically

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Wire-Once Infrastructure: Nexus Switching

FC

FCoE

NAS/iSCSI

Unified Compute

FC, FCOE NAS

Virtual Workloads

Infrastructure Standardization Infrastructure Standardization Results in Application Agility Results in Application Agility

Flexibility of Running File Flexibility of Running File and and Block on Same InfrastructureBlock on Same Infrastructure

Unprecedented Unprecedented Operational Operational SimplicitySimplicity

10G, 40G, 10G, 40G, 100G 100G FabricFabric10G, 40G10G, 40G

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The Compute Model Influences the Network Model

UCS Manager

XML API Standard APIs

UCS

HolisticHolistic

ComputeCompute Storage Storage Services ServicesL2,

L3

FabricFabric

Application PerspectiveApplication Perspective

Switching Switching NetworkNetwork

ApplicationApplicationApplicationApplication

DistributedDistributed

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Customer Insights

ResearchResearch//AcademiaAcademia

• ExperimentalOpenFlow/SDNcomponents for production networks

Massively ScalableMassively ScalableData CenterData Center

• Customize with Programmatic APIs to provide deep insight into network traffic

CloudCloud

• Automated provisioning & programmable overlay, OpenStack

Service ProvidersService Providers

• Policy-based control & analytics to optimize and monetize service delivery

EnterpriseEnterprise

• Virtual workloads, VDI, Orchestration of security profiles

Diverse Programmability Requirements Across SegmentsDiverse Programmability Requirements Across SegmentsMost Requirements are for Automation Most Requirements are for Automation and and ProgrammabilityProgrammability

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a

Cisco Open Network Environment

Industry’s Most Comprehensive PortfolioHardware + SoftwareHardware + Software Physical + VirtualPhysical + Virtual Network + ComputeNetwork + Compute

ControllerControllerMultiMulti--layer APIlayer API

Network

ProgrammaticProgrammaticAPIsAPIs

Controllers and Controllers and agentsagents

Virtual Virtual OverlaysOverlays

AppsApps Apps

Device Device Device

Virtual OverlayVirtual Overlay

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Cisco Open Network Environment

Platform APIsPlatform APIs1.1.

ComprehensiveDeveloper Kit across IOS, IOS-XR and NX-OS

Controller/Controller/AgentsAgents

2.2.

OpenFlow v1.x Agent

Virtual Overlay Virtual Overlay NetworksNetworks

3.3.

• OpenStack and REST API

• Multi-Hypervisors• VXLAN Gateway• Security, Services

Chaining

Industry’s broadest approach for Network ProgrammabilityIndustry’s broadest approach for Network ProgrammabilityIndustry’s broadest approach for Network ProgrammabilityIndustry’s broadest approach for Network Programmability

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Building your Cloud Foundation with Cisco

Simplicity and cost reduction with performance roadmap to 100G and beyond.Unified Fabric

Self integrating components and API for automation through standard tools

Unified Management

Bare metal abstraction and policy-based application optimization at run timeIntelligent Infrastructure

Seamless automated scalability and mobility of virtual and physical workloads

Elastic Resource Allocation

Extensibility through plug-in architecture and self-service infrastructureShared Resource Pools

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