general it technology series cloud...
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47pt
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General IT Technology Series— Cloud
Computing
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Page 2
1. Cloud Computing Overview
2. Solution Architecture and Key Technologies
Cloud Computing
2.1 Virtualization Technology
2.2 Convergence Technology
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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.
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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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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)
Software (application)
Platform (application server, frame,
and programming language)
Platform (application server, frame, and programming language)
Software (application)
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
Page 6
Cloud Computing Development
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1. Cloud Computing Overview
2. Solution Architecture and Key Technologies
Cloud Computing
2.1 Virtualization Technology
2.2 Convergence Technology
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Enterprise IT Architecture Based on Cloud Computing
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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
Cloud disaster recovery
Service/System migration
Equipment room
management
Cloud security
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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
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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
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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
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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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Product Comparison
Huawei VMware Citrix Microsoft HP IBM Other
Integrators
Server Self-
developed
X X X Self-developed Self-
developed
Integrated
Storage Self-
developed
X X X Self-developed Self-
developed
Integrated
Network Self-
developed
X X X Self-developed Self-
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
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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.
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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.
Application scenarios
• 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
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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.
Application scenarios
•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
×
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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%.
Application scenarios
•The FT feature applies to HA systems, such as the transaction system and
ERP system.
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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
Application scenarios
•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
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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
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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.
Application scenarios
•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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1. Cloud Computing Overview
2. Solution Architecture and Key Technologies
Cloud Computing
2.1 Virtualization Technology
2.2 Convergence Technology
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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
Cloud disaster recovery
Distributed data
center management
Cloud disaster recovery
Service/System migration
Equipment room
management
Cloud security
Logical
partition
Hardware
partition
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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.
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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
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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.
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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
HUAWEI TECHNOLOGIES CO., LTD. Huawei Confidential
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Page 32
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
HUAWEI TECHNOLOGIES CO., LTD. Huawei Confidential
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Page 33
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.
HUAWEI TECHNOLOGIES CO., LTD. Huawei Confidential
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Page 34
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.
HUAWEI TECHNOLOGIES CO., LTD. Huawei Confidential
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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!