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Building Smart Cities with Everything as a Service
The document outlines the concept of building smart cities through an 'Everything as a Service' model, emphasizing the importance of data for effective urban management. It discusses how data from various sources can improve city services, enhance decision-making, and promote innovation in areas like healthcare, transportation, and environmental management. The framework for smart cities focuses on creating a hyper-connected environment that leverages technology to foster better governance, economic development, and quality of life for citizens.
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Building Smart Cities with Everything as a Service
- 1. Building Smart Cities withEverything as a Service Syam Madanapalli | @smpalli
- 2. Outline 2 State, data and City SmartCity Framework Everything as a Service
- 3. Alfred North Whitehead (1861– 1947) Civilization advances by extending the number of important operations which we can perform without thinking about them. Introduction to Mathematics (1911)
- 4. State, Data andthe City City authorities, citizens and entrepreneurs need data 4
- 5. City has Information 5 PotholeSmoking Location Weather Water
- 6. The Need forData 6 Disaster information Traffic information Toxic gases and biohazards Waste levels City health maps
- 7. The usecase maydiffer for different user Multiple Users Need Same Data 7 Data Provider Data Users City State Authorities Data Others Data Citizens Data
- 8. Internet is thekey component of the Smart Cities Internet to Connect the City and Data Users 8 Data Provider Data Users City State Authorities Data Others Data Citizens Data Internet
- 9. Hyper Connected World Internet Family PublicAuthority Health Records Hospital Primary Healthcare Provider VolunteersAmbulance Senior Citizen ElderlyCareinaSmartCity
- 10. Smart City Applications 10 SmartGovernment Transparency, accountability Better decision making Smart Mobility Intelligent traffic management Safer roads Smart Environment Better waste management Air quality monitoring Smart Healthcare Health maps Better emergency services Smart Utilities Resource conservation Resilience Smart Living Safety and security Better quality of life
- 11. 11 Smarty City = DataDriven Decision Making Better City Agility VisibilityDecisions
- 12. Innovating the SmartCities A scalable approach for building smart cities 12
- 13. State is Exhibittedwith Attributes 13 Attribute Value Temperature 23 OC Pressure 1016 mb Humidity 80% Wind 8 Kmph Rain fall 3 cm A State may expressed using multiple attributes Weather
- 14. Sometimes We Controlthe State 14 Light OFF ON Switch On Switch Off Few things expose internal state using state machines Sometimes users control the state
- 15. A temperature service Atime service A light service A service is used access the state/attribute No bleeding between users or services Autonomous Services 15 Data Provider User 1 User 2 User n Services Attributes
- 16. Client behavior neednot be defined Client use case determines the use of a service Behavior of servers is independent of clients Allows innovation in client implementation Client – Server Model 16 Server Client 1 Client 2 Client n Services Attributes
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- 18. Street Lighting Control Usecase defines how to use the services exposed by the servers App Traffic Service Daylight Service Time Service Light Service Use Cases 18 DCBA Use case 1: A Use case 2: AB Use case 3: ABC Use case 4: ABD
- 19. Autonomous Services -Innovation 19 n Services = ((2^n) – 1) possible Use cases 1 Service = 1 Use case 2 Services = 3 Use cases 3 Services = 7 Use cases 100 Services = 1 267 650 600 228 229 401 496 703 205 375 Use cases
- 20. Framework for SmartCity Applications 20 Application Use Cases Services State Attribute 1 Attribute 2 … Attribute n
- 21. Smart City =Innovation 21 Innovate at the intersection of people, technology and market
- 22. Building the SmartCities Everything as a Service 22
- 23. Smart City 23 Get DataGet Visibility Take Actions Keep Learning
- 24. How do WeGet the Data? 24 Sense Install new sensors to generate new data History Make the data captured so far available Capture Add connectivity/open up existing sources
- 25. Data from History 25 Digitize Dataprivacy and government policy are essential
- 26. Telecom/Mobile Operators Hospitals Machines Citizens Other Service Providers PublicTransport Existing Data Sources 26 Data privacy and government policy are essential
- 27. Sensing for NewData 27 Sense ground, air, infrastructure, water, energy, people, pets , vehicles …
- 28. Actions based DataAnalytics Descriptive Predictive Prescriptive
- 29. Data Architecture forSmart Cities 29 Environment Infrastructure Citizens Communication Infrastructure Remote Management Systems . Business Process Government Utilities Citizen Services Open Data API Data S e c u r i t y
- 30. Democratizing the SmartCities 30 EaaS - Everything as a Service; Need standardized Interfaces Sensor Network Data Publishers Insight Providers Service ProvidersI1 I2 I3
- 31. Smart City OpenPlatform 31 Open Smart City Platform Service A Service B Service N Govt. in partnership with large businesses Private Sector Private Sector
- 32. Smart City =Business Software & Services 80% Devices 20% Smart City Market Share* 32 * ABI Market Research Startups can play a BIG role in building the Smart Cities
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