general it technology series cloud...

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General IT Technology Series— Cloud

Computing

HUAWEI TECHNOLOGIES CO., LTD. Huawei Confidential

35pt

32pt

) :18pt

1. Cloud Computing Overview

2. Solution Architecture and Key Technologies

Cloud Computing

2.1 Virtualization Technology

2.2 Convergence Technology


35pt

32pt

) :18pt

Massive Information and Low Cost Propelling Cloud

Computing

30161

540

988

1580

2529

50280

0

500

1000

1500

2000

2500

3000

2004 2005 2006 2007 2008E 2009E 2010E 2011E

Massive information (E Byte)

Source: IDC, 2008

E byte = 1018 bytes (1 billion GB)

Energy

consumption

Space in the

equipment room

Computing and

storage

High IT costs

Low resource utilization: CPU: 5% to 10%; storage: <

36%; network: about 50%

Low O&M efficiency and high O&M costs: One person

maintains less than 100 devices, and manual

maintenance costs take 12% of the operation costs.

High energy consumption: The energy utilization is

only about 20%.

Information explosion: In 2006, 161 EB data was generated in the world. If the data is printed, the paper

may be 10 times as long as the distance from the earth to the sun. In 2007, 280 EB data was generated in

the world, about 45 GB per capita. However, the entire human history record has only 5 EB data.

Low costs: Processing 1 GB data using existing IT technologies costs five dollars, and therefore

massive information cannot be processed. In this case, cloud computing is propelled. Google spends 25

cents to process 1 GB data by employing cloud computing.


35pt

32pt

) :18pt

Cloud Computing Integrating Business Models and

Technical Concepts

National Institute of Standards and Technology (NIST): Cloud computing is a pay-per-use model for enabling access to a shared

pool of configurable computing resources (such as networks, servers, storage resources, applications, and services).

Getting small (virtualization)

Getting big (cloud)

vCPU

vCPU

vCPU

vCPU

vCPU CPU

Physical server

Cloud service Users can use cloud

computing on the

web UI.

Com

putin

g u

nit

Users can use

servers on the

web UI.

A capability of implementing elastic computing or

supercomputing by splitting or combining physical computing units

Fine-

granular

clouds

A cloud refers to an aggregation of water drops

or ice crystal colloids on the atmosphere.

Internet

Cloud platform

Servers & Storage

Distributed &

Parallel Software

Cloud service

IaaS

SaaS PaaS

+


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32pt

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Service Models of Cloud Computing

Service

Model

Content Business Opportunity

SaaS Web 2.0 applications

Enterprise applications (such as ERP and CRM)

A "supermarket" for applications and software

PaaS

Providing environments for application operation and

development

Providing application development components, such

as mail, message sending, charging, and payment

components.

Exploring potential network resources.

Controlling network platforms.

IaaS Leasing basic IT services, such as computing, storage,

network, and DNS services.

Cost-effective elastic IT resource services

Application and web hosting

IaaS

Infrastructure as a Service PaaS

Platform as a Service

SaaS

Software as a Service

Infrastructure (network, computing, storage, equipment room,

environment, power supply, heat dissipation, and refrigeration)

Software (application)


Platform (application server, frame,

and programming language)

Platform (application server, frame, and programming language)


SaaS

PaaS

IaaS

User

Application

Developer

Internet

Architect

Cu

sto

me

rs V

alu

e B

oo

st


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Not to deploy 49%

Deployed 21%

Deploying 30%

Private Cloud Deployment

Being Used 47% To be

used 21%

No plan 24%

Out of service

8%

Public Cloud Adoption

Being Used 41%

Plan 34%

Unused 13%

Unknown 12%

Hybrid Cloud Adoption

Cloud Computing Development


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32pt

) :18pt



Cloud Computing




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32pt

) :18pt

Enterprise IT Architecture Based on Cloud Computing


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32pt

) :18pt

Cloud Computing Logical Architecture

Concurrent data analysis and mining

Distributed message queue Distributed database

Operation

management

Power distribution & UPS Modular equipment

room

High-density air

cooling Natural air cooling

Cloud tenant experience Cloud service development Cloud service operation

SLA monitoring

Distributed cache

High-performance computing

Cloud platform API Cloud management API

Grid computing

x86 computer Midrange

computer

Storage

device

Network

device

OS

Cluster

File system

VEPA

vNetwork

dvSwitch

VN-Link

Application Desktop

Terminal

Logical

partition

Hardware

partition

x86 server virtualization (bare metal)

CPU

virtualization

Memory

virtualization

I/O

virtualization

Hosted virtualization Container virtualization

Desktop

virtualization

Application

virtualization Virtualized cluster Distributed virtualized OS

Terminal

virtualization

Storage

virtualization

Virtual/

Distributed

FS

User profile virtualization

Co

nve

rge

nc

e t

ec

hn

olo

gie

s

Liquid cooling

Service automation

O&M automation

Cloud backup

Cloud disaster recovery

Distributed data

center management


Service/System migration

Equipment room

management

Cloud security


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32pt

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Overview of Virtualization Technologies

Virtualization

Before virtualization After virtualization

Windows

App

Linux

App

Linux

App

Server 1 Server 2 Server 3

Independent IT resources

Tight coupling between the operating

system and hardware

Resources are virtualized as shared resource

pools.

The upper OS is decoupled from hardware and

obtains resources in the resource pool.

App

Win Linux

App App

Win Linux

App App

Win Linux

App App

Win Linux

App App

Win Linux

App App

Win Linux

App

Resource pooling

Partition

Multiple VMs can run on a single physical server.

Isolation

Multiple VMs are isolated on one physical server.

Encapsulation

The VM running environment is encapsulated in an independent file.

Independency

VMs can run on any physical server without being modified.

VM characteristics

Virtualization layer Virtualization layer Virtualization layer


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Virtualization Improving Server Utilization

Software and hardware are decoupled, reducing the OS dependency on hardware.

1. CPU compatibility

2. I/O device virtualization

Heterogeneous applications are thoroughly isolated, and multiple applications can coexist on the

same hardware device without any modification.

1. Fault and secure isolation

2. Resource quota isolation by means of QoS

CPU%

CPU%

Virtualization highlights

Virtualization application

Virtualization consolidation

•TCO reduced by 35% to 75%: Hardware and

software costs are reduced by 40%, and

operation costs are reduced by 70% to 80%.

•Improved operation efficiency: The

deployment duration is decreased from several

hours to within minutes.

•Enhanced service level: All servers are

managed as a whole

•Automatic resource allocation: The capacity

can be expanded without service interruption.

Basic virtualization features: pooling, decoupling, and isolation

Main applications: virtualization consolidation, improving server utilization and

reducing the TCO


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Virtualization Providing Flexible and Reliable Services

VMs can dynamically share resources, thereby

enabling irregular traffic transmitted in a

physical server at an even rate.

• CPU hot swap

• Dynamic memory scaling

• Dynamic disk space scaling

VMs are migrated between multiple physical

servers without service interruption,

thereby enabling irregular traffic to be

transmitted across physical servers at

an even rate.

•Dynamic resource scheduler (DRS)

•Dynamic power management (DPM)

Virtualization technologies change the

original application packaging/publishing

pattern to thoroughly decouple applications

from hardware.

•Dedicated OSs, avoiding the interference

from other software

•Improved installation/migration efficiency

•Provides a secure intrusion inspection and antivirus solution.

•Takes snapshots for the system memory and storage.

•Recurs faults easily.

•Records VM events.

•Replays historical operating process for fault locating and

hacker behavior tracking.

•The VM status can be synchronized between the active and standby VMs, independent from

applications.

•When the physical server is faulty, services can be restored within hundreds of milliseconds.

Application container Live migration Elastic scaling

VM hot standby VM security

VM snapshot

VM video

Highlights:

1) Flexible resource management: quick application deployment and green OSs, enabling mobile applications and scalable

VM resources.

2) In-service out-of-band control

VM

Server

VM

Server

VM (1

vCPU)

CPU:

90%

Server (4-core CPU)

VM (3

vCPUs)

CPU:

30%

Server (4-core CPU)

VM (2

vCPUs)

CPU:

50%

VM (2

vCPUs)

CPU:

40% VMM

Hardware

OS

App Third-party

software Deployment

Migration

object


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Virtualization Technologies and Comparison

Computer hardware

VMM

User OS

User

application

Ring 0

Ring 1

Ring 2

Ring 3

Core command

User command

Full virtualization

Computer hardware

VMM

Partially

virtualized

user OS

User

application

Ring 0

Ring 1

Ring 2

Ring 3

Hypercall

User command

Paravirtualization

Computer hardware

VMM

User OS

User

application

Ring 0

Ring 1

Ring 2

Ring 3

Non-root mode

Non-root mode

Hardware-assisted virtualization

User command

Core command

Core command

Full virtualization Paravirtualization Hardware-assisted virtualization

Implementation

Binary Translation

Hypervisor for virtualizing the CPU,

memory, and device I/O

Hypercall

Hypervisor for virtualizing the CPU and

memory

Management OS for virtualizing the

device I/O.

Intel-VT and AMD-V

VT-x for virtualizing the CPU, EPT for

virtualizing the memory, and VT-d/VT-c

for virtualizing the device I/O.

OS modification and compatibility Not modifying the user OS and

providing optimal compatibility

Modifying the user OS and providing

poor compatibility

Not modifying the user OS and

providing optimal compatibility

Application example VMware ESXServer

Citrix XenServer

Microsoft Hyper-V

RedHat KVM

Full-virtualization and paravirtualization

vendors are using hardware-assisted

virtualization and adjust their software

architecture accordingly.

Comparison Among Three Virtualization Technologies

The hardware-assisted virtualization eliminates the differences between software virtualization technologies and dominates the virtualization

technology development.


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Server Virtualization Categories

Hosted virtualization Bare-metal virtualization Operating system-level

virtualization Hybrid virtualization

Host OS

OS

Application

App

licatio

n

Virtualization

layer

Virtualization layer

App

OS

App

Se

rvic

e

co

ntr

ol

co

nso

le

App

OS

Host OS

Virtual container

App

System

template

library Virtual container

App

System

template

library

Host OS

App

OS

App

OS

App

OS

Virtual

hardware mgmt

Hosted virtualization Bare-metal virtualization Operating system-level

virtualization Hybrid virtualization

Highlight •Easy to implement

•VMs are independent of OSs.

•Multiple OSs are supported for various

applications.

•Easy to implement

•Low management costs

•No redundancy and high

performance, compared with

hosted virtualization

•Support for multiple OSs

Weakness

•Installing and running

applications depend on the host

OS.

•High management costs and

performance deterioration.

•Kernels on the virtualization layer are

difficult to develop.

•Poor isolation. Multiple

containers share one OS.

•Requiring underlying hardware to

support virtualization expansion.

Vendor VMware Workstation

Virtual PC

VMware ESXServer, Citrix XenServer,

Microsoft Hyper-V, and Huawei

FusionSphere

Virtuozzo RedHat KVM

By architecture

Server virtualization, desktop virtualization, storage virtualization, and network virtualization By application


35pt

32pt

) :18pt

Desktop Cloud (Desktop Virtualization)

Basic concepts

Desktop cloud: Virtualizes the computer desktop to implement secure and easy use. Users can access their own desktop systems on the network by

using any devices anytime and anywhere. This simplifies O&M, reduces difficulty in management and control, and optimizes mobi lity.

Benefits:

Mobile working, enabling access to desktops anytime and anywhere

Information security, protecting enterprises' intellectual assets

Reliable and continuous services

Energy saving and noise reduction

O&M management

system

Cloud

administrator

Terminal access layer

Desktop and session

management layer

Cloud OS management

layer

Hardware layer Service

administrator

User

Terminal

administrator

Server virtualization/network virtualization/storage virtualization

Cloud OS

VDI desktop Virtualization application

Logical architecture of desktop cloud


35pt

32pt

) :18pt

Desktop Virtualization Mechanism

Huawei Desktop Cloud Platform

Application

program

OS

Configuration

file

Hardware

Constructing shared resource pools with unified management, reliability,

and expansion.

Decoupling OSs from hardware and implementing centralized delivery.

Decoupling applications from OSs and implementing centralized delivery.

Decoupling data from OSs and implementing centralized storage.

Constructing hierarchical security system and implementing distributed

control.

The user portal is displayed on the terminal

through remote protocols, such as ICA, RDP,

and PCoIP.

Terminal devices are simplified. Only the thin

client, keyboard, mouse, and video are

required.

Data storage center

Application delivery

center

Desktop delivery

center

Security management

center


35pt

32pt

) :18pt

Virtualization Consolidation

Virtualization consolidation: Server virtualization enables physical server resources to be converted to logical

resources. Using the virtualization technology, one server can be virtualized into multiple separated virtual servers.

CPU, memory, disks, and I/O resources become dynamically managed resource pools. In this way, the resource

utilization rate is enhanced, system management is simplified, and servers are integrated.

Basic concepts

Benefits


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) :18pt

Product Comparison

Huawei VMware Citrix Microsoft HP IBM Other

Integrators

Server Self-

developed

X X X Self-developed Self-

developed

Integrated

Storage Self-

developed


developed

Integrated

Network Self-

developed


developed

Integrated

Server

virtualization

software

FusionSphere

(UVP)

ESX XenServer Hyper-V ESX/XenServer KVM

Integrated

Cloud

(virtualization)

management

software

FusionSphere

(FusionSpher

e Manager)

vCenter XenCenter System

Center

vCenter/XenCenter VirtualBridges

VERDE™

Core

Integrated

Desktop

management

software

FusionAccess

(vDesktop)

VIEW XenDesktop Terminal

Service

VIEW

XenDesktop

VirtualBridges Integrated

Thin client Self-

developed/coo

peration

X X X Self-developed Integrated Integrated

Locating Provided by

the solution

Provided by

components

Provided by

components

Provided by

components

Provided by the

solution

Provided by

the solution

Provided by

the solution

Vendor

Product


35pt

32pt

) :18pt

Common Virtualization Technologies — VM Live

Migration

Application scenarios

•In the evening, only a few services are processed on physical servers. In this

case, VMs can be automatically merged and idle physical servers can be

powered off.

•In the daytime, the number of services to be processed increases. Physical

servers are automatically powered on, and their VMs take over the services

on heavy-load physical servers, which ensures the QoS.

Technical features

•The system automatically powers on or off proper physical servers, thereby

reducing the number of migrated VMs.

•Some physical servers can be hibernated to meet the requirements of new

services.

FusionSphere

App

FusionSphere

App App

FusionSphere

App App

FusionSphere

App

Description

•Live migration migrates a VM from one physical server to another.

•This feature enables the entire operating status of a VM to be saved and

restored on the target hardware platform. After restoration, the VM can

operate properly, without interrupting user services. The live migration

technology applies to dual-system fault tolerance, load balancing, and energy

saving scenarios. Huawei provides memory compression for live migration

so that the live migration efficiency is doubled and a maximum of eight VMs

can be migrated concurrently.


35pt

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) :18pt

Common Virtualization Technologies — DRS

Technical features

•In one cluster, the system automatically balances VM

load on physical servers based on policies.

(Maximum in the industry: 128 physical servers per

cluster)

•The load balancing algorithm is optimized, preventing

invalid VM migration.


• Load balancing, optimizing service performance

• Traffic transmission at an even rate, preventing

traffic congestion

FusionSphere

App

FusionSphere

App

FusionSphere

App App

FusionSphere

App

App

App

App


35pt

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) :18pt

Common Virtualization Technologies — HA

Description

•With the high availability (HA) feature, the system automatically

creates a VM on a properly running computing node when the VM was

faulty on a computing node. In this way, the faulty VM can be quickly

restored.

Technical features

•Detects the fault of hosts, virtual platforms, and VMs. Fault detection

takes 10 seconds (Huawei product takes the lead in the industry).

•Migrates a maximum of 8 VMs concurrently, which is also industry-

leading.

•Supports the memory compression technology, which doubles the

migration efficiency.


•Services can be interrupted transiently but must be quickly restored.

For example, this feature can be applied to light-load databases and

desktop cloud services.

FusionSphere

App

FusionSphere

App App

×

Rapid service

recovery through HA

×

Light-load

DB

Customer

information

management

×

Light-load

DB

Customer

information

management

Automatic

recovery from

failures

×


35pt

32pt

) :18pt

Common Virtualization Technologies — FT

FusionSphere

App

FusionSphere

App App Real-time data

synchronization

App

×

FT (in-

service)

×

Transaction Settlement

Server A Server A'

Transaction Settlement

Description

•The fault tolerance (FT) feature supports the full clone of the active VM to

the standby node in a hypervisor. The CPU status, memory, disk operations,

and Quick EMUlator (QEMU) can be regularly synchronized at a low delay.

The VM at the standby node periodically sends heartbeat messages to the

active node. If the standby node does not receive the reply message within

the specified time, it regards that the active node becomes faulty, and then

the standby VM switches to the active state. The active and standby nodes

can keep consistent status so that data is completely the same. However,

this feature may cause some performance costs.

Technical features

•Switchover within seconds without interrupting IT services (packet loss ratio

< 1%).

•FT for multi-core VMs (some peer vendors provide the FT feature only for

single-core VMs).

•Performance deterioration: 5% to 30%.


•The FT feature applies to HA systems, such as the transaction system and

ERP system.


35pt

32pt

) :18pt

Common Virtualization Technologies — Storage

Live Migration

Technical features

•Controllable migration bandwidth, preventing impacts on normal

services

•Fine compatibility: Storage resources can be migrated among different

types of storage devices or different clusters at the storage virtualization

layer, regardless of underlying devices.

•High security: The drive image technology ensures the data consistency

during the migration.

•Cross-cluster migration


•Maintains power-off storage systems.

•Optimizes the storage I/O performance of VMs.

•Effectively manages storage capacity (such as reclaiming storage

fragments).

FusionSphere

Client Client Client Client

FusionSphere

Storage live migration


35pt

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) :18pt

Common Virtualization Technologies — Resource

Scheduling

Online/Offline adding and offline deleting the following:

•vRAM

•vCPU

•vNIC

•Note: Some OSs may not support online adding of

vCPUs and vRAMs. In this case, you can restart

the VM to make the adding take effect.

•VM configuration can be adjusted based on the requirements.

• Vertical expansion ensures the QoS of a single VM.

• Horizontal expansion ensures the QoS of the cluster.

Technical features

Benefits

FusionSphere

Virtual resource pool VM

App


35pt

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) :18pt

Common Virtualization Technologies — Linked Clone

Description*

•A linked clone is a copy of a VM that shares virtual disks with the parent

VM in an ongoing manner. This allows multiple cloned VMs to use the

same OS, application system, data, and documents as the parent VM.

Technical features

•Multiple clients running the same OS share one master image, which

can be upgraded and maintained centrally.

•Each client VM stores its delta file for virtualization image.

•The storage cost is reduced by 60%.

•The time for creating a single VM linked clone is reduced to 12

seconds.


•The lined clone feature applies to the desktop cloud call center and

software subcontract center.

Significantly improving management efficiency and reducing storage costs

FusionSphere

Client Client Client Client

Delta file Delta file Delta file Delta file

Windows

Master

image

Linux

Master

image


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) :18pt



Cloud Computing




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) :18pt

Convergence Technologies

Concurrent data analysis and mining

Distributed message queue Distributed database

Operation

management

Power distribution & UPS Modular equipment

room

High-density air

cooling Natural air cooling

Cloud tenant experience Cloud service development Cloud service operation

SLA monitoring

Distributed cache

High-performance computing

Cloud platform API Cloud management API

Grid computing

x86 computer Midrange

computer

Storage device

Network

device

OS

Cluster

File system

VEPA

vNetwork

dvSwitch

VN-Link

Application Desktop

Terminal

x86 server virtualization (bare metal)

CPU

virtualization

Memory

virtualization

I/O

virtualization

Hosted virtualization Container virtualization

Desktop

virtualization

Application

virtualization Virtualized cluster Distributed virtualized OS

Terminal

virtualization

Storage

virtualization

Virtual/

Distributed

FS

User profile virtualization

Co

nve

rge

nc

e t

ec

hn

olo

gie

s

Liquid cooling

Service automation

O&M automation

Cloud backup


Distributed data

center management


Service/System migration

Equipment room

management

Cloud security

Logical

partition

Hardware

partition


35pt

32pt

) :18pt

Why Is the Convergence Needed?

A large number of

virtualization applications

increase the IT O&M and

management costs.

1. Convergence is the best choice for all

vendors.

2. The IDC estimates show that convergence is

the next phase of cloud computing.


35pt

32pt

) :18pt

Convergence FusionCube Overview

Application appliance

• Middleware, database, and

application software

• Hardware and software for

service optimization

• OLTP, DW, BI, and OA

Infrastructure appliance

• Computing, storage, and network resources

• OS/virtualization

• IT infrastructure management

Middleware

System software

Server Storage Network

iNIC

SSD

GPU

Computing

Storage

Network

Hypervisor Cloud

Management

Scale-out

Storage Engine

•In Sept. 2012, the FusionCube was

launched in the HCC for the first

time. •In Dec. 2012, the FusionCube

was carried into the Beta test.

•In Apr. 2013, the FusionCube

started its application in the world.

•Huawei launches the FusionCube to integrate the

infrastructure. The FusionCube can be sold separately.

•By cooperating with partners, such as Oracle and SAP,

Huawei provides platform support for multiple

applications, including the data warehouse.

Differences

The application appliance

integrates hardware,

middleware, databases, and

application software and

optimizes services. It can be

regarded as a more

advanced form than the

infrastructure appliance.

Two forms of the integrated IT infrastructure in

the industry


35pt

32pt

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Application Scenarios of Convergence Appliance

IT hosting operation Enterprise virtualization/

private cloud construction Industrial application optimization

• Providing services agility and simplifying

virtualization construction.

• Significantly improving the resource

utilization.

• Simplifying infrastructure O&M

management.

• Horizontal expansion and rapid

service provisioning

• Low TCO

• Easy maintenance and rapid

processing

Cu

sto

me

r req

uire

me

nts

• Improving the system performance for

core applications.

• Resolving performance bottleneck

caused by virtualization.

• Reducing the procurement costs on

performance improvement.

Provides agile convergence deployment state

for traditional services.

Provides distinguished performance for

specific scenarios.


35pt

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) :18pt

Integrates computing, storage, and network

resources, and requires no external SAN

storage device.

Integrates and verifies hardware infrastructure,

virtualization software, and enterprise applications

before delivery.

Manages physical and virtual resources in a

unified way.

Automatically discovers and installs hardware

devices after their configurations are changed.

Automatically rectifies faults and isolates

hardware faults without deteriorating

performance.

S i m p l e S w i f t

New application deployment within several days

Flexible configuration of computing and storage

nodes

Linear expansion on demand

Elastic resource scheduling and allocation

Full configuration for each subrack (12 U): 64 CPUs

and 12.3 TB memory

A maximum of 512 physical nodes for each cluster

A maximum of 2048 hard disks for each storage

resource pool

Compliance with open architecture standards,

support for multiple virtualization engines open APIs

E f f i c i e n t

Manages all resources in a centralized way to

implement automated IT services and one-click

application deployment. This reduces the OPEX by

up to 30%.

Combines hardware and software to improve the

performance of upper-layer applications.

Employs the distributed storage engine to improve

the I/O performance by three to five times.

Uses only about 30 minutes to construct 1 TB data.

Installs the iNIC to improve the network

performance by three times.

Uses the SSD and big data compression card to

optimize application performance.

Fu s i o n S t o ra g e

Benefits to Customers


35pt

32pt

) :18pt

FusionCube Components

GE/10GE/FC switch modules

Indicators on hardware operating

and fault status

Load balancing or 1+1 backup

A half-width blade

supporting 8 SATA/SAS

disks

ARM CPU

Two-layered

architecture/replaceable

draw-out hard disks on

the front panel

Two quad-core/hexa-

core/octa-core Intel Xeon E5-

2600 CPUs

24 DDR3 DIMMs

Two 2.5-inch SAS/SATA/SSD

Two expansion PCIe

mezzanine interfaces

One standard PCIe 8X

expansion slots

Storage resource expansion

board with fifteen 2.5-inch

disks

Full-width/Half-width computing

blade

Two quad-core/hexa-core/octa-core

Intel Xeon E5-2600 CPUs

24 DDR3 DIMMs

Two 2.5-inch SAS/SATA/SSD

Server

HDD SSD

Fusion

Sphere Fusion

Sphere

FusionS

phere

Fusion

Storage

client

V

M

V

M

V

M

V

M

V

M

V

M App

Server Server Server

SoD

storage

cluster

HDD SSD

FusionStorage


35pt

32pt

) :18pt

Key Technology — FusionStorage

Storage blade

Server

HDD SSD

FusionSphere FusionSphere

Server

HDD SSD

Server

volume1

Server

volume2

Server

volume3

FusionStorage Engine

VM

FusionSphere

FusionStorage

client

FusionSphere

FusionStorage

client

FusionSphere

FusionStorage

client

VM VM VM VM VM

VM VM VM VM

I/O I/O

High expansion Smooth expansion of computing

nodes

Expansion from 3 computing blades

to 250 blades, meeting the

requirements of fast service

development

High reliability Constructing 1 TB data requiring

only 30 minutes

Distributed software, ensuring

reliability across blades and

subracks

High performance Performance for burst applications is

increased by three to five times.

The performance of a single

application volume is increased by

100% to 300%.

The performance does not deteriorate

when advanced functions are

enabled.


35pt

32pt

) :18pt

Solution Strength 1: FusionCube vs. NAS/SAN Device

App App

Cache

HDD

Integrated computing and storage

App App

Cache

HDD

App App

Cache

HDD

Server

2

Server

1

Server

3

Cache

HDD HDD HDD

SA

N

App App App App App App

Server

2

Server

1

Server

3

Server+external SAN device

P2P 10GE

PCIe

GE/FC

SAS

Item FusionStorage SAN NAS Remarks

I/O performance High Medium Low The performance of the FusionStorage SATA hard

disk is equivalent to that of the SAN SAS/FC hard disk.

I/O acceleration (cache

capacity)

High (five times

that of the SAN

device)

Low Low The FusionStorage supports cross-blade sharing, but

the SAN device has NAS engine bottleneck.

Efficiency for concurrently

reading/writing large files

High (improved by

three to five times)

Medium Low The FusionStorage uses the flat P2P architecture for

concurrent read and write.

Cost Low High Low The FusionStorage can use either the SATA hard disk

or the SAS/FC hard disk.

Scalability High: scale out Medium Low A single SAN engine has performance bottleneck, and

multiple SAN devices cannot share resources.

Reliability High Medium Medium

Single points of failure occur on the SAN engine.


35pt

32pt

) :18pt

Switch

FC Switch

SAN Exadata

TeraData

FusionCube

MPP Parallel Database

DW Reference Architecture

•Performance gains from HW assisted SW optimization

•Existing DB applications require no change

•Expensive

•Scale-out with high performance

•Expensive

•Existing DW application may need modification

• Cost-effective alternative solution

• Based on innovative scale-out architecture • High performance: distributed storage+HW optimization

• Existing DB and application run without modification

(Oracle/HANA/SybaseIQ)

Database Appliance

Traditional SMP based DW

• DB+Miniframe/Server+Central Storage

• Hits performance bottleneck

• Cannot be scaled cost-effectively

Solution Strength 2: Cost-effective Alternative DW

Infrastructure

Thanks!

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