Agile Cloud supporting the Tactile Internet

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1 Agile Cloud supporting the Tactile Internet Frank Fitzek Gerhard Fettweis in partnership with

2 Via Della Conciliazione Source: Gerhard Fettweis Source: Quelle: japantimes.co.jp/news/2014/09/30/asia-pacific/hong-kong-democracy-protesters-set-deadline-for-demands/ Slide 2

3 Via Della Conciliazione Billion Devices 2014 Source: Gerhard Fettweis Source: Quelle: japantimes.co.jp/news/2014/09/30/asia-pacific/hong-kong-democracy-protesters-set-deadline-for-demands/ Slide 3

4 Via Della Conciliazione Billion Devices Billion Devices Source: Gerhard Fettweis Source: Quelle: japantimes.co.jp/news/2014/09/30/asia-pacific/hong-kong-democracy-protesters-set-deadline-for-demands/ Slide 4

5 Via Della Conciliazione Throughput Billion Devices Billion Devices Source: Gerhard Fettweis 500 Source: Quelle: japantimes.co.jp/news/2014/09/30/asia-pacific/hong-kong-democracy-protesters-set-deadline-for-demands/ Slide 5

6 Wireless >2020 Outlook 100Tb/s 10 Tb/s? 1 Tb/s 100Gb/s 10Gb/s 1Gb/s ac/ad 100Mb/s ag n LTE Advanced b HSPA 10Mb/s LTE HSDPA 1Mb/s G R99 / EDGE 100Kb/s 10Kb/s GSM GPRS WLAN (10m) Cellular (100m)

7 Via Della Conciliazione Billion Devices Throughput but there is m ore... Source: Gerhard Fettweis 500 Billion Devices 2022 Source: Quelle: japantimes.co.jp/news/2014/09/30/asia-pacific/hong-kong-democracy-protesters-set-deadline-for-demands/ Slide 7

8 The Tactile Internet Moving from 25ms RTT 1ms tomorrow Slide 8

9 Use Cases

10 Use Cases

11 Revolution Ahead: The Tactile Internet 4G: Content Communications 5G: Steering & Control Communications Health & Care Traffic & Mobility Sports & Gym Edutainment Manufacturing Smart Grid

12 5G Massive Requirements Massive throughput State of the art Massive low latency Massive sensing Massive resilience Massive safety and security 5G The Tactile Internet Massive fractal heterogenity > 10Gbit/s per user < 1ms RTT > 10k sensors per cell < 10 8 outage < security 10x10 heterogeneity

13 Communication Networks Circuit Switched Networks Voice Places

14 Communication Networks Circuit Switched Networks Voice Places

15 Communication Networks Circuit Switched Networks Packet Switched Networks Revolution Voice Voice Data Places People

16 Communication Networks Massive throughput Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing Revolution Massive energy saving Internet of Things (IoT) Smart Grids Voice Voice Use Cases Remote Cars ehealth Data Flying Internet Places People Robotics

17 Communication Networks Massive throughput Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing Revolution Massive energy saving Internet of Things (IoT) Smart Grids Voice Voice Use Cases Remote Cars ehealth Data Flying Internet Places People Robotics

18 Communication Networks Massive throughput Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing Revolution Massive energy saving Internet of Things (IoT) Smart Grids Voice Voice Use Cases Remote Cars ehealth Data Flying Internet Places People Robotics

19 Communication Networks Massive throughput Code Centric Networks Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing A B Revolution Massive energy saving Revolution Internet of Things (IoT) Voice Voice Use Cases Smart Grids Remote Cars ehealth Things Voice Data Flying Internet Data Places People Robotics Control

20 Communication Networks Massive throughput Code Centric Networks Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing A B Revolution Massive energy saving Revolution Internet of Things (IoT) Voice Voice Use Cases Smart Grids Remote Cars ehealth Things Voice Data Flying Internet Data Places People Robotics Control

21 Communication Networks Massive throughput Code Centric Networks Circuit Switched Networks Packet Switched Networks Technical Challenges Massive reduction in delay Massive resilience Massive safety & security Massive heterogeneity Massive sensing A B Revolution Massive energy saving Revolution Internet of Things (IoT) Voice Voice Use Cases Smart Grids Remote Cars ehealth Things Voice Data Flying Internet Data Places People Robotics Control

22 One code to rule them all!

23 KODO Fast track to utilize network coding for research and industry by flexible, tested, maintained & high performance solution. Hardware and multi core support Library source code fully available. Licenses free for research/educational but paid if commercial interest exist. C++ but bindings for C, Java and Python

24 KODO Coding Speeds Industry trend F=GF(2^8) P=1MB Kodo 17 MT (sparse=0.5) Kodo 17 (sparse=0.5) ISA-L Jerasure 2.0 OpenFEC G=8 (12) 3096/ / / / /292 G=9 (13) 2542/ / / / /264 G=10 (15) 2136/ / / / /245 G=16 (24) 1807/ / / / /160 G=30 (45) 950/ / / /361 96/90 G=60 (90) 594/ / / /184 48/46 G=100 (150) 383/ /159 74/73 111/111 29/28 G=150 (225) 266/ /107 47/46 74/74 19/19 Measured on Intel(R) Core(TM) i GHz

25 Wireless Mesh Foto: Torsten Proß, Jeibmann Photographik

26 Kodo-Python 2-Hop Communication Example E D1 D2 encode recode decode Wanna learn more? 5G summer TUD.

27 Recoding R S 40% 40% 80% D R 60% 60% 64 packets No need for signalling! prob. D has not received all 64 after X trans. impact of recoding impact of field size

28 Cloud Evolution Single/Static Distributed/Static Distributed/Agile

29 Example: Distributed Cloud

30 Example: Distributed Cloud Heterogenity (4 clouds) Clouds behave differently Speed-Up (5 clouds) RLNC does not need full degree of freedom M. Sipos, F.H.P. Fitzek, D. Lucani, and M.V. Pedersen, Dynamic Allocation and Efficient Distribution of Data Among Multiple Clouds Using Network Coding, in IEEE International Conference on Cloud Networking (IEEE CloudNet 14), Oct M. Sipos, F.H.P. Fitzek, D. Lucani, and M.V. Pedersen, Distributed Cloud Storage Using Network Coding, in IEEE Consumer Communication and Networking Conference, Jan

31 Mobile Edge Cloud / Micro Cloud / Cloud

32 Dynamic Distributed Cloud No Coding RS Coding Network Coding reliability reliability reliability storage traffic storage traffic storage traffic reliability storage traffic F. Fitzek, T. Toth, A. Szabados, M.V. Pedersen, D. Lucani, M. Sipos, H. Charaf, and M. Medard, Implementation and Performance Evaluation of Distributed Cloud Storage Solutions using Random Linear Network Coding, in IEEE International Conference on Communications - Cooperative and Cognitve Network Workshop - CoCoNet6, June 2014.

33 Dynamic Distributed Cloud No Coding RS Coding Network Coding reliability storage traffic

34 Software Defined Networks End to End Coding Schemes: Store and Forward

35 Software Defined Networks Hop by Hop Coding Scheme: Store and Forward

36 Software Defined Networks Network Coding Scheme: Compute and Forward

37 37 Software Defined Networks Latency gain of e2e vs RLNC (left) and hbh vs RLNC(right)

38 Results Packets 64 Size 250 B Bitrate 0.25 Mb/s RLNC gain over E2E RLNC gain over HBH

39 Radio Network Controller Backbone Radio Network Controller COMP Multicast MASSIVE MIMO BS MASSIVE MIMO BS IoT MASSIVE MIMO BS Relay MASSIVE MIMO Relay Multi-Hop Distributed P2P

40 Thank you 5G L A B GERMANY

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