Cloud Enabled Global Industry Servitization · Cloud Enabled Global Industry Servitization Dr. Rong...
Transcript of Cloud Enabled Global Industry Servitization · Cloud Enabled Global Industry Servitization Dr. Rong...
Cloud Enabled Global Industry Servitization
Dr. Rong CHANG
Member, IBM Academy of TechnologyIBM T.J. Watson Research Center
http://www.linkedin.com/in/rongnchang
IoT Cloud Platform BigData Analytics Application Innovation
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Global Industry Metamorphosis
Innovation + Cost Reduction = Value CreationGrowth of ICT ==> Growth of ICT-Embedded New Industries
Personalization
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IoT Cloud Services: Driver of the new Global Industry Metamorphosis
现实世界
Nervous System
Sensors
Networks
+
+
Brain
Nerves
Receptors
Internet of Things
CognitiveComputing
感知 控制
Natural ResourcesEnergy & Utilities Supply Chains
ManufacturingWellness & Health Transportation Smarter City
• Connected Physical andCyber Worlds
• Pervasive IoT Devices,Holistic Cognition, andDeep Insights
• Continuous Managementand Optimization of theDigitized World
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Main Source of BigData: IoT Devices
Source: IDC’s sixth annual study of the digital universe (2012)
0%
10%
20%
30%
40%
50%
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5,000
10,000
15,000
20,000
2005 2010 2015 2020
Growth Prediction of Machine Generated Data
Percentage ofMachine Generated Data
Volume ofMachine Generated Data
Exabyt
es
• 1 GB (Gigabyte, 9 zerios): 10,0000,0000
• 1 EB (Exabyte, 18 zeros): 100,0000,0000,0000,0000
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Composition of IoT Cloud Services: An Example
Connected VehicleManagement App
Object StorageMobility
Support Service
External Data:Weather
Connected VehicleTrajectory Analytics
IoT Devices
External Data:Map
API Management
Pub/SubMessaging
Smartphone App
Data Pipes
Component Analytics Services(Map-Matching, Trajectory Pattern, Dirver Behavior)
Historian
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Service-Centric DevOps: Development, Integration & Delivery
WaterfallSoftware
Development
Continuous ServiceDevelopment,
Integration & Delivery
Service-Centric & quality-assured continuous service development, integration and deliveryunder the DevOps model is key to the success of IoT Could Services.
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IoT Cloud Services: Some Technology & Education Challenges
1. Digitization, Cognitive Understanding, and Servitization of the Physical World
Digitized Physical World = Sensors + Humans + Machines + Natural Resources
New Discovery Enablement and Industrial Know-How Acquisition
Discrete Buy-and-Sell Products ==> Contract-Based Connected Services
Service Maturity: Monitoring -> Proactive Management -> Cognitive Optimization
2. API and Data Service Economy
Distributed Computing + Distributed BigData = API-Defined IoT/IoE Services
“Algorithms + Data Structures = Programs” (by Niklaus Wirth)
Computer ==> Server ==> Datacenter Cloud ==> MCU+Edge+Cloud
Programming & Management in Small ==> Programming & Management in Large
Software componentization ==> (Business) “Service API” centric composition
Standalone Program ==> Web Application ==> Services+Microservices Solution
Horizontal PaaS/SaaS ==> Domain-Specific PaaS/SaaS
Agile Service API DevOps, Continuous Integration, and Continuous Delivery
Domain-Specific OPEN Data, Tools, Platforms, and Benchmarks