Internet of Things 2017/2018

Transcription

1 Internet of Things 2017/2018 Examples Johan Lukkien John Carpenter,

2 Monitoring Energy Use 2

3 July 25,

4 January 13,

5 Architecture: physical view to internet transformer access point router (ethernet) (wifi) USB raspberry PI smart meter 5

6 Architecture: components deployed to devices T-Webserver E-Webserver Reporter Recorder Database smart meter transformer raspberry PI smart meter 6

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10 This is a fairly standard 3 tier architecture however, with an automated process of data insertion alternatives are obtained by different deployment choices for components Comments at different locations on the internet with significant impact on extra-functional properties Two things can be seen: the raspberry and the transformer The situation is fairly static: only clients change The data can be used to analyze processes in my home: vertical analytics. For learning general things, multiple homes must be monitored: horizontal analytics 10

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12 Sports app 12

13 CES Las Vegas Greatest CE show ever 3600 exhibitors and 2.2M SqFt Calm innovation Television innovation: every 3 years a doubling in #pixels/panel (2K 4K 8K) Regular improvements in speed of processors, memory sizes, bits per second Music is about having a good time feeling your soul (Neil Young, about the high-res audio player Pono ) Consumer Electronics is the way people get to use these new technologies (Stephen Diamond, keynote at ICCE, talking about next generation networked computing platforms) Ground-breaking, high-speed innovations: Internet of Things putting ICT in everything and then connecting everything thus combining everything Clouds are loading with data 13

14 Short cycle Computation / Fusion Actuation & feedback User APP, user device 14

15 Short cycles with memory Local Storage Computation / Fusion Actuation & feedback User APP, user device 15

16 Long cycle Global Storage Computation / Fusion Actuation & feedback User APP, user device Other applications User APP, user device data of multiple users value: knowledge and $$ for service providers 16

17 What about M2M? IoT System is platform: concurrent applications at endpoints open, extensible Protocol IP (+ higher) to endpoints on top of low resource networks Applications use standard IP protocols developed separately Management IP management protocols explicit, requires interfaces M2M System is the application application-specific devices closed Protocol standardized, for low-resource networks Applications classes developed and optimized along with the entire system Management explicit, built into protocols 17

18 Example: activity monitoring for stress analysis Example and pictures from: From M2M to the IoT, J.Holler et al., Academic Press 2014 IoT Install devices with data generation services Combine all sources of information on the subject, shedding light on the entire situation including stress causes M2M Install devices and applications for the purpose of the application typically, including the precise flow of control inside the system Accordingly, collect data, process, and give a stress level output 18

19 What makes up the IoT? Things are constrained devices. Constraints pertain to memory: static background (flash) and dynamic (RAM) processing power: #instructions / second available energy accessibility, uptime (duty cycling) Things are connected into constrained networks (typically deriving from node constraints). Network constraints pertain to low bitrate duty cycle limits [may not use network more than x%] high packet loss, and variability asymmetric links small packet size limited group communication primitives But then, united with regular Internet services and fast networks 19

20 These regular Internet Services Deal with large amounts of data storage storage clouds transport towards storage and delivery (e.g. media, data-applications) Content Delivery Networks Software Defined Networking Network Function Virtualization Support processing data analysis cloud processing applications must run somewhere coordination platform compute services J. Gubbi et al., Internet of Things (IoT): A vision, architectural elements and future directions, Future Generation Computer Systems, 29(2013), p

21 In summary IoT stands for the vision of the Internet of tomorrow extending network communication to billions of endpoints reaching into the physical world, gathering incredible amounts of detailed information about states and events (processes, objects, people, environment) expanding processing and storage capacities to analyze such data enhancing coordination and algorithms to use this knowledge as soon as possible in feedback cycles and new applications thus connecting the physical and the Internet worlds simplifying and standardizing commoditizing the corresponding technologies 21