Download - Huawei Cloud Big Data For Government
2
Contents
2Huawei Technologies Co., Ltd Huawei Confidential
C Huawei Cloud Big Data Use Cases
Key Technologies in Huawei Cloud Big dataB
Digital Government & Big DataA
D Summary
3
Digital Government (e-Government) Strategy
Recast Relationship
G2C
Redesign Public Services
Interactive with
Government
Vision
Objectives
Simpler Services with Less Cost
Standards on Digital
Services
Open Shared & Accessible
Design, Build and Run Digital
Platforms&Services
Run National Digital Infrastructure
Give Civil Servants The Digital Skills
Improve Government How to Commissions
and Builds Technology
Collaborative Across Whole Org. to Digitally
Transform
Improve How Government
Manages The Data
4
Digital Government (e-Government) Key Breakthroughs
Build the Intelligent Organization as Key
I-Organization means how to React the complex and uncertainty
It requires to realize the Entire View capability
This ability driven by Data Consolidation
Data consolidation accelerated by Cloud & AI Technology
5 Page 5
Gov to Citizen Facilitate citizen participation
User-centered Design
“One-stop” service
Promote government image
Gov to Gov Realize information exchange
Share data for decision-maker
Enhance collaboration
Bridge digital divide
E-Gov
Scope of e-Government
Gov to Employee Improve efficiency and reduce
cost
Streamline operational process
Realize paperless working
Promote employment & ICT literacy
Gov to Business Improve business environment
and attract foreign investment
Streamline and transparent management
6
e-Government Benefits
• Network can be the information highway•Data Center is the highly centralized and
performed data exchange center• Easy ICT convergence
Boost economy,Increase Revenue
Bridge Digital Divide
Promote Information
sharing & exchanging
Anti-Terrorism
Promote GovEfficiency
Enhance Gov Info Security
• Paperless work to save money • Voice conference & video
conference reduce traveling & communication cost
Saving Cost
• e-ID, e-Passport • CCTV
• Well-defined OA workflow enhance efficiency
•Network security• Terminal security• Application security• Lawful interception• Ensure high security to
protect Gov info asset
• e-Education enhance teaching quality• Gov capacity building, knowledge transfer• Boost IT industry development• Enhance IT level of rural areas
• e-Tax prevent tax evasion and tax dodging• e-Customs prevent smuggling, increase
revenue and protect local industry• Open information platform facilitate
export, increase revenue• Create new jobs
7
Comprehensive services
City-wide
Self-service devices
Less travel needed
Mobile services Proactive exploration
Services at your fingertips Intelligent services
Less paperwork
One ID for all services
Related business
One-stop service
Major Business Forms
7
8
User Experience
Digital governance with heart
Development Direction of e-Government
Standards-driven continuous improvement
Standardization
Data sharing driven by
user requirements
Sharing
Promoting service coordination
through process governance.
Coordination
Lead service scenario transformation with technology application.
Intelligence
8
9
Model and growth rate of unstructured
dataHeterogeneity and diversity of big data
Low value density
• 80% to 90% of the total data volume
• 10 to 50 times faster growth than
structured data
• 10 to 50 times larger than the
traditional data warehouse
• Various forms of data, such as
text, video, and machine data
• No pattern or no clear pattern
• In-depth complex analysis
required to predict trends and
models
Big Data
Four V's Real-time analysis and result
display
McKinsey: Big data refers to datasets whose size is beyond the ability of typical database software tools to capture, store,
manage and analyze. Generally, the size ranges from several terabytes to petabytes.
National Institute of Standards and Technology (NIST), USA: Big data means the data of which the data volume,
acquisition speed, or data representation limits the capacity of using traditional relational methods to conduct effective
analysis or the data which may be effectively processed with important horizontal zoom technologies.
What Is Big Data?
10
Precise
recomm
endation
Financial
context
...
Credit
investigation
(2s to 5s)
Online
historical
details
...
Records of mobile
phone office
Data from tens of
thousands of smart devices
More than 25 TB log data every day
Over 100 million messages sent on
Weibo and WeChatevery day
Social data Machine data
Information and decision-making Innovative services
Less than 5% of the
data has value.
Exploiting the value of data
takes several days.
Diverse data and systems Revenue increase thanks to rapid
information obtaining and decision makingHuge gap
Massive Amounts of Data Are Generated in the Digital Era
A solution is required to cope with distributed storage, parallel
computing, and real-time stream processing of big data.
11
• Apache open source project, starting in 2005
• To cope with such challenges as large data volumes, various data types, and rapid data generation
• Powerful support from the open source community
• Increasingly abundant ecosystem
YARN: resource management system
In-memory computing
Spark
Search
Elasticsearch/Solr
SQL
Hive
NoSQL
HBase
Streaming
Kafka/Storm
Script
Pig
1 ° ° ° ° ° ° ° ° °
° ° ° ° ° ° ° ° ° °
° ° ° ° ° ° ° °
°
°
N
Batch processing
MapReduce
Hadoop Distributed File System (HDFS)
Big Data Technologies Arise to Cope with Fast Computing of Massive Data
Volumes
Applicable:
• Large amounts of data
• Streaming data access (write once and read multiple times)
• Commercial hardware (common hardware)
Inapplicable:
• A large number of small files
• Frequent file modifications (write once)
12
Data Sources Data ServingData integration, modeling, analysis Data Consumption
Where is the data? Is the data correct?
xxx
xxx
xxx
xxx
xxx
PFC
PCE
DCE
systemdata
Final report
manualdata
Traditional structured data source
Strutural data source
Real-time data source
Unstructured external data source (Internet, etc.)
Summary Machinelearning
Summary analysis
analysis
How to find data? Don't know where the data is?
What is the content of the invisible data?
Which conversion is available?
Not confident on data quality Is there any problem with the data? M/F for gender?
It’s up-to-date?
Where is the pipeline?Any problem? How to fix it?
5000 tables, millions of fields
13
Data Sharing Driven by User Requirements
Case 1 Case 2 Case 3 Case 1366
Public
Security
Bureau
Human Resources
and Social
Security Bureau
National Health
Commission
Housing
Management
Bureau
Lack of Resources
Data resources are unavailable or incomplete,
which hinders services.
Low Sharing Efficiency
There is no checklist of responsibilities for
dynamic online data sharing driven by business
requirements, so coordination is difficult, and
sharing is inefficient and limited.
No objectives for optimization
and no management skillsData is incomplete, and there are no objectives
for continuous improvement.Data requirement
Data provisioning
Dilemma of data sharing in the conventional mode
13
14
Build Data Governance Framework for government to empower big data and AI use cases
Determines the data governance architecture, and then examines the interaction from a whole system perspective.
Architecture planning involved business, data, application and technology.
Establish data management and control, responsibilities and personnel skills requirements
Develop workflow according to organizational structure Establish effective data management and performance index
Strategy
Policy
Domain
Implementation
Planning
OrganizationWork FlowRegulations
Standardized management of business data Standardized management of data itself Data quality management
Data governance model. Data governance process Metadata management Data standard management Data quality management
Data StandardsMeta Data
Data Quality
Scope: Source System/Big Data Platform/Apps
Management Tools:Meta Data/Standard/Quality
15
Top Priority of Government Digital Transformation: Generating Data Assets
Befo
re d
ata
op
era
tio
ns
Data planning and application:
Data planning of different business departments is not coordinated and
streamlined.
Data management:
Lack of unified management and inconsistent data result in incorrect
inventory of data.
Data sharing:
Each department independently manages data assets, and there is no
data sharing mechanism.
Aft
er
data
op
era
tio
ns
Unified planning and flexible application:
Unifying the requirements of each business department helps implement
the overall big data development strategy.
Unified management:
Building a unified big data platform facilitates the generation of big data
asset maps and data quality control.
Unified sharing:
The big data platform allows data to be shared among all business
departments.
16
Contents
16Huawei Technologies Co., Ltd Huawei Confidential
C Huawei Cloud Big Data Use Cases
Digital Government & Big DataA
D Summary
Key Technologies in Huawei Cloud Big dataB
17
Huawei Big Data Product History
Hadoop Kernel Optimization And
Community Contributions
Performance-oriented and equipment-based
Reliable and secure self-management
Enterprise Private Cloud(FusionInsight)
Public Cloud (Enterprise Intelligence)
2007 2011 2013 2015 20172002
Big Data research
ETL & Analytics Technology
Cloud EI ServiceTelco Big Data Product
& Solution
Telco Data Analytics, BI Application
• IDC:Top1 big data provider in China
• Patent: 190+
• PMC and committers1. Hadoop Core/HBase: 72. Spark+CarbonData: 8
• CarbonData:Apache top level project target for “one data multiple scenario”
18
Problem #1: Data Prep
Data preparation takes too much time
Lack of data preparation efficiency
Two Essential Problems That Make Data Analysis Difficult
Lack of effective governance
Problem #2: Data Governance
I don't know where the data is.
I don't know if the data is right.
Speech imageDevice sensing data
User/consumer dataCommodity/business data User/consumer data
19
Data Engineer: Struggling to prepare data every day
Data Scientist: wait for data in most time of the day
Data Preparation
20
Data Silos
• Each data type is stored in its own
database. Schema-on-write.
• Scalability problem
• Lack of advanced analysis tools
Loose coupling
analysis AIreport
Data lake computation
Objet Storage
Data Lake • Storage and computation decouple• Scale independently • Various data type, schema on read• Bring in analytics tools ecosystem
Data System Evolution
silo2
App1 App2 App3
silo3silo1
structured unstructured semi-structured
Loose coupling + performance + reliability
report AIanalysis
Data Lake+
Enhanced Object Storage
CarbonData
DAYU
Data Lake+• Based on decoupling architecture• Unified data management, analytic
in-place for existing data source• Unified data governance• Market for industry
Not scale to data size, data type, workload
Not good performance, not reliable, hard to use, rely on complex tools
Market
Existing Data Source
21
Data Operation is the Core Competence of Enterprise IT
Take control
Data quality can be verified
Controllable traceability of data usage
Fast development
End-to-end job scheduling and monitoring from
data collection to data consumption
Easy to find
Searchable data directory
Clear data standard definition
Data Catalog
22
Data Lake+ and its Unique Features
data ingest
Modeltraining
InferenceData
preprocess
CarbonData(Unified Data Management)
Dataanalysis
Data annotation
Data loopback
Domain PluginModelArtsDIS/CDM MRS/DLI/DWS•API•UDF• Index•Model•…
Industry Market
Domain specific templates•Government•Education•Public Relation•Transportation•Tourist•…
DAYU(Data Governance)
Enhanced Object Storage
• Strong consistency• Mutil protocol• Native HDFS API, real rename/append/…
• Data acceleration: Indexing, MV, Caching
• Data reliability, ACID
• Data governance• E2E data development
and monitoring
• 100% opensourcecompatible
• Serverless, auto scale
23
Standard SQL + Python
Stream/batch ingestion
ETL
AnalystsData scientistsData engineers
DB
JSON
XML
CSV
AVRO
JPG
WAV
TXT
CarbonData Machine learning
Deep learning
BI, data mart
Columnar Index Meta
Cloud I/O optimizer
ACID operations
...
Autotune
Hadoop OBS
One Set of Data for Multiple Applications
24
Government Data Standardize and Data Governance Process
extractor
XML
JSON
CSV
Data lake storage
Ap
plicatio
ns
Search engine
Relationship engine
Employee ID
Communicate
activity…
Passages
Assets
Hobbies…
Original data Standardized data
Data1
Data2
Data3
Full historical data
…
text
voice
picture
files
…
Global Data Catalog
Theme Library
opulation
Security
Education…
Library data
Domain/App specific data
MLS/DLS
Voice
Image
Scenario: Data modeling based on people, things, places, things, organizations,
behaviors, and relationships Develop applications such as event search, spatiotemporal analysis,
and relationship discovery based on theme data.
Solution: Data visualization and data governance based on workflows AI-based unstructured data processing (voice recognition) Model training for theme data
Ministry/Agency
text
voice
picture
files
…
Data1
Data2
Data3
Full historical data
…
SelectCleanFilter
Demography
Industry Analysis
…
Theme data
ExchangeLinkage Search
25
Cloud is the most agile way to transform government
Gov.Big Data IoT Service
①Transportation
Education
Health care
Public safety
Smart Airport
Smart Campus
Government Administrative
Environmental Protection
Water Resources
Tourism
ApplicationPublic Service Enterprise Service
Digital Government
Cloud Ecology
• 350+ global government cloud practices to help build smart city application layer• 860+ solution partners and 2900+ service partners to ensure the understanding of the industry and e2e
delivery and operation
②
③
④
⑤
⑥
⑦
⑧
⑨
Gov. AI CenterApp Enabling
(DevOps, MicroService)
Industry Internet
Government Cloud Public CloudEdge Computing
Cloud Infra
⑩
26
• Security• Data • Enterprise Applications• Compliance• Process
• Enhanced Security • Data Proliferation • Automated Infrastructure
Provisioning
• Intelligent Decisions• Artificial Intelligence• Automatic Management• Agile Innovation• IoT and M2M• Open Ecosystem
of applications run on the cloud
of applications will run on the cloud by
of applications will run on
the cloud by
20%
40%
85%
2025
2020
NOW
Global Cloud Services Grow Exponentially
27
Government’s Uneven Experience with Cloud
Smart
Government Cloud Construction Approach Comparisons
Fully Digital
05 Optimizing
Data Center
04 Managed
Open
03 DefinedE-Government
02 DevelopingMaturity Level 01 Initial
Value Focus Compliance Transparency ConstituentInsight-Driven
TransformationSustainable Cost saving vs
Mission support: the ability to evaluate, consume, and share knowledge.
Service Model Reactive Intermediated Proactive Embedded Predictive No digital organization vsMigrate data and APPs, redesign operations,
quick deploy new services
Platform IT-CentricCustomer-
CentricData-Centric Thing-Centric
Ecosystem-Centric
Still rely on a few providers
vsInnovative ecosystem to open up new partners,
collaboration by sharing the cloud
EcosystemGovernment-
CentricService Co-
CreationAware Engaged Evolving
Simply deploy new services
vsEliminate redundant time-consuming process,
optimize end-to-end process
Leadership Technology Data Business Information Innovative IT remains same role vsIT in a cloud becomes driving force of innovation,
creating new values
Technology Focus
SOAAPI
ManagementOpen Any Data Modularity Intelligence
Application-centric and process-centric
vsData on demand, consolidated data enables
system intelligence
Key Metrics %Service OnlineNo. of Open
Datasets
% Improvement in Outcomes,
KPIs
% New and Retired Services
No. of New Service Delivery
ModelsNo. of services as KPI vs
More transparent, high service quality, and innovative services with good user experience
Gartner Digital Government Maturity Model 2.0
28
Cloud services, AI and Big data are key for Digital Government Technology
20152019
• Cloud Services for government will have a transformational business impact in less than two years
• AI, Data Analytics and Cloud are the top game changers for Government
Source: Gartner Hype Cycle for Digital Government Technology (2015)
29
From Cloud 1.0 to Cloud 2.0, a chance to make a leap-forward step
Public Cloud Hybrid Cloud
PaaS
A-PaaS AIIoT
SDDCVirtualization(Hyper-V, VMWare, OpenStack etc.)
Cloud 2.0 – Service CentricCloud 1.0 – Infra centric
IaaS
Internet, Traditional Workload Digital Enterprise & Government
Smooth migration
E2E solution
Data security
Start from scratch Native applications
31
New way of cloud service operation model
Apps
Cloud Services
Cloud OS
Standard Hardware
Infra
Customer operation team
Customer focus on core business
Traditional Cloud Service Operation model
Huawei SRE
Before: Look after all layers
After:Concentrate on the business value generation layer
32
Device more reliable
• In physical server mode,
server down will cause
service interruption
• In cloud mode, service can realize live migration
to ensure business continuity when single cloud
host has fault
• IT room reconstructed from office
room, no guarantee of bearing
capacity & earthquake proof
• Civil AC & single power input bring
risks of high device temperature &
single failure
• Communication office standard DC facility,
compliance with national earthquake proof
regulatory
• Precision AC system, dual power input,
generator, UPS to provide high standard
facility environment
• Ordinary firewall,
vulnerable to Trojans and
port scanning, no data
security guarantee
• Professional network security scanning & host security
system, cloud & virtualization security system, security
isolation and data exchanging system
• Level-3 Classified Info. Security Certification
• Local 10M or 100M fiber access,
network bandwidth cannot meet
business need
• Direct access to China Mobile CMNET core
network, outbound BW can reach 60G and is
easy to expand
• Faster and reliable network access
Cloud Makes Services More Efficient (1)
Perfect facilities
Highly security protection High quality network
33
Cloud Makes Service More Efficient (2)
Fast service Time-To-Market
• Several months for facility
decoration, device
procurement, installation &
testing
• It will take less than 10 workdays to do business
need analysis, cloud resource allocation, service
deployment
• Huge one-time CAPEX for
building, facility, IT equipments,
and maintenance, etc.
• One-demand allocation of cloud computing resource,
greatly save one-time CAPEX
• Lack of manpower and
professional knowledge
• Professional O&M team, 7*24 hours operator-level
high quality services
• Building cost, hardware procurement
cost, staff salary, cost of power and
maintenance
• Only need pay as your use, reduce
40%+ TCO
Flexible construction mode
Professional O&M team Cost efficiency
34
Big Data AIIOT
By 2020, the number of connected
devices will reach 25 billion.
--Gartner
By 2020, global data volume will
reach 44ZB,the number in 2016 is
only 12ZB.
-IDC
By 2018, 20% of global workers
would be to use the automatic
auxiliary technologies, more than
3 million workers will work under
the supervision of the robot.
-Forrester
Cloud Computing
Cloud Computing is the Foundation for Other Digital Technologies
35
NO.1 in China’s
Government Cloud Market (IDC)
Huawei global experience footprint
No. 1 in China's government big data
marketIDC MarketScape, 2018
Cap
abili
ty
Strategy
Contenders
Participants
LEADER
Major Players
No. 1
No. 1 in China's government cloud marketIDC MarketScape, 2017
Cap
abili
ty
Strategy
Contenders
Participants
LEADER
Major Players
No. 1
2017 2018
350+ e-Government
cloud customers worldwide
UK
EcuadorGhana
Mexico
Spain
Italy
Bolivia
Russia
Moldova
Yanbu, Saudi
Indonesia
Weifang, ShandongShanghai
Dunhuang, Gansu
Pakistan
Gaoqing, Shandong
South Africa
36
Contents
36Huawei Technologies Co., Ltd Huawei Confidential
B Key Technologies in Huawei Cloud Big data
Digital Government & Big DataA
D Summary
Huawei Cloud Big Data Use CasesC
37
Smart Transportation Practice in TianJin City Intelligent Traffic Solution release traffic jams
Snapshot Running Red Lights
Flow monitoring
Traffic Security Gate Traffic light
Traffic Situation ForecastTraffic Induction
Vehicle queuing Number of spillovers 20%
Intelligent Traffic
Solution
Cooperative OptimizationReal-time signal timing
Emergency Green PassSpecial Vehicle Priority
Average Speed 18% Early peak hours 10~15 mins
38
Education Practice in Jiaxing city
Internet + Education Platform - Connect, Share, Intelligence
7 offices、3 units management data connect,10+ ISV connect
700+ school 500,000+study 30,000+ teacher 20+ apps
39
Healthcare Practice for Medical 365 Hospital Network
Make Internet Medical Services More Convenient and Efficient
365 Hospital Network
Community hospitals Patients and residents
Regional Medical Access Network
Public Cloud Gateway
VPN
Medical experts County hospitals
Huawei Cloud • One data source among hospital,
doctor and patient
• Remote consultation
• Resource matching with suitable
doctors across the hospitals
• Reduce 50% hospital operation
costs
40
Healthcare Practice in AI Pathological Diagnosis
leveraged expertise with AI
Specificity
(true negative rate)
80%
Sensitivity
(true positive rate)
99%>97%
25
seconds
AI calculations Accuracy
AI-assisted Diagnosis for COVID-19Cervical Cancer Detection
4141
Smart Campus Solution
Personnel tracking
Guest area surveillance
Fire fighting linkage
Perimeter linkage
Asset management
Power management
Smart building
...
42
Environmental Protection Practice in KaiFeng CityOne map connects 20 regions, 600+ sensors
Real-timeaccurate monitoring
Efficient Linkage
of monitoring and law enforcement
Precise traceability of
air pollution ; Forecast of
regional environmental
pollution
Pollution control management
43
Floating object detection
Water area
change
Emergency
flood control
Reservoir water
level alarmWater intrusion
Smart Water Solution
44
Smart Water Practice in Suzhou River Supervision Irregularities behaviors
Recognition Accuracy Rate
>80%Reduce
Irregularities behaviors
>30%
4514
Service Scenario Transformation Led by Technological Applications
Provide technical
support
for intelligent approvalInte l l ige nt
A p p r o v a l
AIBig data
Provide data for machine learning
Provide data
sharing services for
intelligent approval
Help people enjoy easier, more convenient, and faster services.
Help organizations gradually move towards semi-automatic,and
ultimately fully automatic approval processes.
46
In Wuhou district of Chengdu, AI-assisted staff-less approval
services (self-service with facial recognition and self-service
certificate printing).
Automatic response by robots
Material electronization
Risk warning
Automatic identity recognitionAutomatic data filling
Intelligent notification
Intelligent guidance
Intelligent approvalAutomatic verification
of certificates
Proactive push services
Guangxi Housing and Urban-Rural Development Department
promotes online application, intelligent approval, and immediate
responses.
Intelligent Approval Processing in Wuhou District of Chengdu and Guangxi
Housing and Urban-Rural Development Department
46
47
Government AI center: Enable government management innovation
Ministry 1 Ministry 2 Ministry 3 Ministry N
Inference Request
Inference Response
…
general OCR ID Card OCR driver license OCR Reporter ID OCR receipt OCR Custom document
OCR aircraft itinerary
OCR bank card OCR passport OCR taxi bill OCR custom OCR
OCR
people gatheringrecognition
fighting monitoring fire warning Illegal roadside stall
business recognition material & rubbish
stacking, Population heat
map Store passenger
flow statistics Intrusion detection
License plate recognition
Floating objects monitoring
Swimming & fishing monitoring
Video analysis
image recognition image tagging celebrity
recognition image search content
moderation distortion
correction image clarity
detect dark enhance defog recapture
detection super resolution video background
music recognition
Image
question answering
bot,
task-oriented
conversational bot ,
speech analysis,
CBS Customization
Chatbot
face identification face comparison face searching live detection
Face& human analysis
Gov. AI Center
ModelArts
48
Contents
48Huawei Technologies Co., Ltd Huawei Confidential
B Key Technologies in Huawei Cloud Big data
Digital Government & Big DataA
C Huawei Cloud Big Data Use Cases
SummaryD
49
Government Big Data Architecture
Data lake
Data Resource Service (Application)
Centralized raw data, Centralized Data Catalogue
Data Resource Service Directory (data API service, data dictionary service, external data gateway...)
Demographic Legal
entitiesMacro
economicGeographic information
Electroniccertificate
Credit information
Basic Library
Reward & punishment
Democracy Powers
Poverty alleviation
Food supervision
Energy governance
CommunityFinancial
risk controlTaxation
Industry analysis
Judicial analysis
…Theme
data ingest
Modeltraining
InferenceData
preprocess
Dataanalysis
Data annotation
Data loopback
Data Governance
Digital Government
Business Function
… ……
Government administration
Financial resources and balance control, Real time situation awareness,
Emergency policies, Smart power grid
Public service
Convenient and Customize ServiceTrustworthy city, eliminate corruption
Food safety, Power grid reliability
Industry Enabling
Benefit assessment, Support initiativesPersevere financial order, risk control
Access to Public data help increase value
50
Big Data is Key to Smart Government Services
Scientific government decision-making Efficient livelihood services Convenient public services
Provide the basis for government policy-making, optimize
decision and track decision implementation, make government
decisions more accurate
One-stop approve and serve, data & resource, monitoring &
management online service portal, make data running
instead of people running
Perform real-time analysis of population distribution and
optimize bus, train, etc, effectively improve people's
satisfaction of public transport travel
Safe public places Fast industry upgrading Accurate tourism management
Through face recognition technology combined with high-
definition video surveillance, realize automatic analysis and
comparison of human faces and quickly identify of monitored
people and objects
Through ERP, CRM, CAD and other information systems,
collecting data in production, management and operation
process, to provide a scientific basis for decision-making in
production, sales, and management
Through data analysis of tourist flow, stay duration, visit
itinerary, effectively enhance the tourism and travel
management service capabilities, improve visitor
satisfaction
51
Mobile Will Provide Comprehensive Services for e-Government
51
Smart
police
Safe
city
Smart
government
Emergency
treatmentSmart
financial
Smart
emergencySmart
tourism Wireless
city
Smart
community
Smart
education
Smart
park
Smart
Health
Government
cloud
Enterprise
cloud
Livelihood
cloudIoT cloud
5G All fiber network WLAN
Network layerPlatform
layer
Application
layer
Anyang Big Data & Cloud Computing Data Center