nsc-jst workshop · gathering information through sensors balancing resources among sensing,...
TRANSCRIPT
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NSC-JST workshop
Development of Cloud Computing Technology in Taiwan Yau-Hwang Kuo Dean, College of Science, NCCU Distinguished Professor, Dept. CSIE, NCKU
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Outline Government’s Policies on developing cloud
computing industry and applications NSC Program for Cloud Computing Research Taiwan’s Industry Focuses on Cloud
Computing Technology Cloud computing related research in my lab
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GOVERNMENT’S POLICIES
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Taiwan’s National Plan (1) Vision: To be the leading country of ICT
applications and technologies by cloud computing Goals improve government’s service performance improve people’s living quality enhance the added value of Taiwan’s ICT
industry promote industrial investment & speed up
industrial restructuring strengthen basic research and industrial R&D
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Taiwan’s National Plan (2) Strategies Supply-side: develop highly integrated C4 industry
ecosystem: Cloud system, cloud Commerce, broadband Connectivity, cloud Client device Demand-side: G-cloud, output international
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Electronic invoice services
Food production resume services
carbon reduction services: carbon footprint calculation and certification; reduce 50% auditing cost
Education cloud: courseware sharing, ubiquitous learning, shorten digital divide, life-long learning
Intelligent transportation services: real-time navigation, traveler information service
Tax filing services
Cloud services for disaster prevention & relief
G-cloud
G-Cloud Applications
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Cloud Commerce Services
unified tour information portal
tour recommendation
Tour Cloud
Surveillance Cloud
electronic publishing
Chinese eBook
Reading Cloud
Farm Cloud Health Cloud
intelligent medical information system
electronic medical records
Medical Cloud
health care plant factory
organic agriculture
personal safety/ home security
warehouse monitoring
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Other Industry Activities
Cloud Data Center: Google, major domestic telecom companies
Connected TV Cloud Cloud service for visual effects of movies and
animations: R&H Cloud service for global manufacturing supply
chain management Cloud service for intelligent factoring Research Centers: Microsoft, IBM, NetApp, R&H
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iFactory Cloud Model
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NSC PROGRAM FOR CLOUD COMPUTING RESEARCH
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Research Topics on Cloud System Technology
Virtualization Service flow and workflow orchestration Programming model World-wide distributed storage system Dynamic resource management and provisioning Energy-efficient infrastructure and platform Availability and reliability Data management Cloud interoperability
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Research Topics on Cloud Service Technology
Web service and SOA Web 2.0 and Mashup Privacy and trustworthiness management Service quality guarantee Universal access for heterogeneous client devices Virtual enterprises and organizations Cloud migration Pilot services: ERP remodeling, smart living
services, health care services, ubiquitous cyber TV services, ITS, etc.
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TAIWAN’S INDUSTRY FOCUSES ON CLOUD
COMPUTING TECHNOLOGY
SUGGESTED BY THE TECHNICAL EXPERT COMMITTEE OF CLOUD COMPUTING
ASSOCIATION IN TAIWAN
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CLOUD SERVICE- DEVICE-ORIENTED PERSONAL CLOUD
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Why Personal Cloud for Taiwan? Taiwan companies (ASUS, Acer, HTC, etc.) sale
more than 100M devices with their own brands per year big customer base
Taiwan’s culture and creative Industry is leading in the Chinese world so that Taiwan has high potential for developing creative personal services and Apps.
The successful experiences of e-Gov services in Taiwan can be transformed into the development of personal cloud services.
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Personal Cloud Services Provide more convenient and high-performance manners to store, retrieve, and use personal contents through a variety of client devices .
Document Portability support mutli-platforms and file
formats, anywhere access, automatic backup.
Ubiquitous access of photo album sharing and universal access for
the cloud photo album.
Music streaming enjoy music anytime, anywhere,
any device. Movie browsing and sharing
Kiosk
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Driving Factors for Personal Cloud
Consumerization Enterprise IT_Comsumerization
Virtualization Data, application…
Software App-ification Everything as an App
The Self-Service Cloud Ubiquitous computing, unlimited power
The Mobility Shift Device for every location
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SERVER TECHNOLOGY- CLOUD APPLIANCE
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From Server OEM To Branded and High Value-added Cloud Appliance Market
Dynamic
Cost-Efficient
On-Demand
Trusted
Controlled
Reliable
Secure Flexible
Private Cloud
Public Cloud
Compute
Storage
Network
Cloud OS
Cloud Servers
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Definition of Cloud Appliance Cloud appliance combines compute, network, storage,
virtualization and management technologies into prepackaged units of infrastructure. It characterizes and tests horizontal and vertical applications to provide predictable units of performance in virtual environments. (VCE)
Cloud appliance is designed as a building block of private cloud infrastructure that we can securely and inexpensively deploy large private cloud computing infrastructures from thousands of inexpensive computers with minimal effort. (Nebula)
Cloud appliance is a good solution for enterprises seeking a fully scalable, pre-packaged, pre-integrated total hardware/software solution to improve IT responsiveness and increase utilization with fewer resources. (AMAX)
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Virtual Machine Management
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Virtual Desktop Infrastructure
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Cloud Storage
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Technology Development Strategies Green design Differentiated designs on computing (e.g., GPU),
storage, and network System software optimized for hardware platform Compatibility with de-facto standards Systems management/data center management Integrated with ‘Killer Applications’ from ISVs
application appliances User Interface/Experience – ease of use/turn-key
solutions Leveraging Open source (Open Stack)
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CPE TECHNOLOGY- FEATURED AND DIVERSIFIED
CLOUD-ORIENTED SMART DEVICES
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Trends: Cloud and Device Symbiosis (1) Examples: Google Auto-Drive Car
Using video cameras, radar sensors and a laser range finder to “see” other traffic, as well as detailed maps to navigate the road ahead – which is all pulled from Google’s data centers.
Example: Google Glass, Apple Siri
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Trends: Cloud and Device Symbiosis (2) Cloud Device: Thin and Intelligent Thin: Leave heavy computation/storage load to the Cloud Intelligent: User interface: Natural User Interface, Multimodal User Interface Context/environment sensitive Gathering information through sensors Balancing resources among sensing, computing, and
communications. Cloud Service: Elastic computing for computation and storage User Interface/User Experience E.g., Natural Language processing, Image recognition
Context aware computing: E.g., LBS, personalization Big Data Analytics
29 資料來源: 工研院 資通所 (2010/11)
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The Battle for Production/Operation Ecosystem
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資料來源:Vision Mobile,2011/2;ITRI,2012/6
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Ecos ys tem
Socia l Networks
Cloud Services
Deve loper Environment
Network
Us er Experience
Opera ting Sys tem
Hardware IP
Manufac turing
垂直整合
Trends– Vertical Integration
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Trends: Horizontal Expansion
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The Battle for Experience Ecosystems Experience convergence: how the user experience
can ‘roam’ from one screen to the next (phone, PC, TV, mp3 player, etc). That create user lock-in and cross-sales. E.g., Google (Android) and Apple ( iOS) expanded
from hand-held devices into PAD and then into Smart TV.
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Trends: Innovative Cloud Services A Collected Mind: cloud service is becoming smarter because
there are more data gathering by sensors on cloud devices Intention understanding (recognize and act on intention)
Input: Sensors help devices adapt to the service/application scenes and make interactions more easily and naturally E.g., motion and proximity sensors is used to automatically get
into speech recognition mode (Google Voice Search) E.g., audio sensor (microphone) is used as motion sensor (The
SixthSense project) Web meets World: Fusion of data sets across virtual and physical worlds
Augmented Reality : E.g., Wikitude, You R Here Augments the physical world around us with digital information
E.g., The SixthSense project Bio/health applications: E.g., the wireless medical sensors can help
users to record vital signs 24/7/365
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Google Voice Search Motion and proximity sensors detects the movement of the
phone to your ear automatically goes into
speech recognition mode. Microphone Search databases + speech recognition database the most frequent search terms in its database.
Location sensors A search for "pizza" returns the result you most likely
want: the name, location, and contact information for the three nearest pizza restaurants.
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Augmented Reality Wikitude: travel guide application for Android Point the phone’s camera at a point of interest GPS to superimpose distances to points of interest Compass to keep track of where you’re looking The application looks up what it sees in its online
database
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Mobile Health Assistance Device
Enable patients to access their health information. Synchronize it with medical server where doctors
can see the patients’ progress and adjust the treatment.
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Reference: http://futuristicnews.com/mobile-health-
assistance-device/
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Mobile Health Assistance Device
Withings – Blood Pressure Monitor Integrated with iOS devices Keep measurements history Share the results for greater
control
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http://www.withings.com/
• Wireless Pacemaker – A wireless, cloud-connected
device designed to simplify the programming of pacemakers.
– Facilitate access to electronic medical records during pacemaker procedures
– It enables nurses to operate equipment with real-time remote support from doctors and technicians.
http://medgadget.com/2011/09/wireless-pacemaker-programming-device-unveiled-at-usc-body-computing-conference.html
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Bio information Application Biomedical sensors may
include sensors of temperature, Galvanic skin response (GSR), pulse, respiration, UWB, etc.
When people use the smart phones, the biomedical signal are recorded simultaneously.
The signal could be transmitted to the cloud and processed anywhere.
The analysis results may indicate the occurrence of flu, accidents, sudden events or activities.
At last, we can see a living city.
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Pictures are modified from http://senseable.mit.edu/realtimecopenhagen/
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Table Type Computer Sommeliers
The embedded into the table computer (SUR40) reads the bar-code on the bottom of the bottle, retrieves the wine data from its database, compares it with the information from a cloud network and presents it to the customer.
38 Reference: http://futuristicnews.com/table-type-
computer-sommeliers/
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Strategy 1: Smile Strategy
Promote Taiwan’s global brands and service companies
Emphasize UI/UX (User Interface/User Experience) for smart devices
Improve core competence on system & software Promote open data to encourage the development
of innovative cloud applications
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Strategy 2: Blue Sea Strategy Develop featured and diversified smart cloud
devices and cloud services Optimize the vertical integration performance of
cloud industry ecosystem Transform traditional industries into cloud service
market Speed up the development of emerging service
industries by cloud computing paradigm.
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Strategy 3: Deep Cultivation Strategy Focuses on development of key components
AMOLED panel
Memory for mobile devices
Highly integrated communication chips
Smart sensors
Application processors
資料來源:工研院IEK,2011/3
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SYSTEM MANAGEMENT TECHNOLOGY- CLOUD SECURITY
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Suggested Cloud Security Topics (1)
Data Governance and Access Management Data/database backup Data/file protection Cloud identity
authentication platform Cloud storage
management
Cloud Security Alliance Projects HIM, Health
Information Management
CDG, Cloud Data Governance
TCI, Trusted Cloud Initiative
CSA: Cloud Security Alliance
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Suggested Cloud Security Topics (2)
Cloud Service Security Cloud security
operation service Cloud service incident
detection, response and manipulation.
Mobile App security Big data processing
security Virtualization of IT
security equipments
Cloud Security Alliance Projects CloudSIRT, Cloud
computing Security Incident Response Team
SecaaS, Security as a Services
Big Data CTP, Cloud Trusted
Protocol CSA: Cloud Security Alliance
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Suggested Cloud Security Topics (3)
Cloud Audit and Data Management E-discovery Cloud service
audit/certification Digital Forensics Cloud security
consultant
Cloud Security Alliance Projects Cloud Audit CCM, Cloud Controls
Matrix STAR, Security Trust &
Assurance Resources CAI, Consensus
Assessments Initiative TCI, Trusted Cloud
Initiative
CSA: Cloud Security Alliance
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Suggested Cloud Security Topics (4)
Cloud Platform Security Security monitoring for
cloud service platforms VM management
platform security Trusted middleware
Cloud Security Alliance Projects Top Threats to Cloud
Computing STAR, Security Trust &
Assurance Resources MWG, Cloud Metrics GRC Stack
CSA: Cloud Security Alliance
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Suggested Cloud Security Topics (5)
Critical Infrastructure Security Cloud infrastructure
security Communication
network security Mobile communication
security M2M communication
security
Cloud Security Alliance Projects TWG, Telecom Working
Group CSA Mobile GRC Stack CDG, Cloud Data
Governance
CSA: Cloud Security Alliance
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DATA PROCESSING TECHNOLOGY- BIG DATA ANALYTICS
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Big Data – Extending the Warehouse
Streams
Internet Scale
Warehouse
In-Motion Analytics
Data Analytics, Data Operations &
Model Building
Results
Internet Scale
Database & Warehouse
At-Rest Data Analytics
Results
Ultra Low Latency Results
Traditional / Relational
Data Sources
Non-Traditional / Non-Relational Data Sources
Non-Traditional/ Non-Relational Data Sources
Traditional/Relational Data Sources
InfoSphere Streams
InfoSphere BigInsights
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Bring together a large volume and variety of data to find new insights
Identify criminals, networks, and threats from disparate video, audio, and data feeds
Make risk decisions based on real-time transactional data
Predict weather patterns to plan optimal wind turbine usage, and optimize capital expenditure on asset placement
Detect life-threatening conditions at hospitals in time to intervene
Multi-channel customer sentiment and experience analysis
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Key Technologies and Skills
Big data analytics and solutions By means of map-reduce, stream computing
Knowledge integration from various Cloud applications Performance enhancement by specially
designed (i.e., application specific) cloud appliances.
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CLOUD COMPUTING RELATED RESEARCH TOPICS
IN MY LAB
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Opportunistic Cloud aims to develop technologies for creating
dynamic P2P cloud services over opportunistic network protocols for forming and maintaining
opportunistic P2P cloud Approaches of trustworthiness evaluation,
privacy protection and security guarantee under opportunistic P2P cloud collaborative data sharing and dissemination dynamic resource management schemes virtualization issues on opportunistic P2P cloud
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Trustworthy Cloud Service Mediation Platform Aims to construct a cloud service platform which is
able to guarantee mutual trust among cloud service providers, cloud platform provider, and cloud service clients license-based service management integrated service access and audit management high-performance cloud service gateway cloud data backup and caching multi-database cloud data mediation multi-tenant cloud data protection
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IoT-augmented social cloud for the purpose of mental care of elderly IoT-augmented social cloud service platform to
create smart cyber-physical living space for elderly information analytics approaches for the
analysis of behavior patterns and social interaction patterns of elderly on social cloud.
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THANKS FOR YOUR ATTENTION
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