GRUPPO TELECOM ITALIA

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1 GRUPPO TELECOM ITALIA IIT DAY Pisa, 17 Novembre 2016 Future Internet: towards organisms dynamics Antonio Manzalini, Ph.D Technological Scouting, Trend Analysis & Future Center

2 Source: 2

3 Internet: an enormous number of interconnected things Source: 3

4 Internet: the creation and transfer of a huge amount of data Source: 4

5 but also: local cognition at the edge (i.e., future terminals) 5

6 and a global interconnected cognition (i.e., SDN and NFV) Programmable Networks Global cognition (Cloud Edge DC) LOGO PARTNER Programmable Networks Senses Organs Effectors Organs percepts Local cognition (terminals, Fog devices) actions Environment 6

7 Then Internet is becoming like an organism LOGO PARTNER with a sort of nervous system : sensing, collecting and storing (even locally, in the Edge-Fog nodes) massive data sets (through terminals, smart things, intelligent machines); Moving sets of data or code (through high bandwidth and ultralow low latency connections) where it is more convenient (execution of virtual functions and services ); Picture Credits: elaborating said big data (Cloud and Edge and Fog Computing) to It brings Adaptability at the cost of Complexity. infer decisions for actuating local actions (pervasive machines, 7

8 An organism providing any sort of services Adaptability is achieved by solving optimization problems, e.g., constraint-based optimal allocation of logical resources and links. Services can be seen as graph of components (e.g., software tasks) allocated/executed/moved in one or more network slice (e.g., VMs or Containers, interconnected via logical links); 8

9 towards X-as-a-Service X-as-a-Service means that SDN Controllers, Virtual Network Functions (VNF) and end-users services/applications can be all seen as apps under some generalized assumptions. Towards an unifying model of X-as-a-Service : provides a function (both global and local ); exports APIs (e.g., REST); available anywhere and anytime (location-time independent); scalable, elastic, and resilient; runs in a slice; can be built by composing with existing services; building blocks (NoSQL DB), user-facing (Facebook), and both (DropBox). Need of looking at Future Internet with a 9

10 What does X-as-a-Service allow? Cloud - Edge - Computing A.I. Big Data SDN NFV Integration of SDN-NFV, Cloud-Edge Computing, Artificial Intelligence and Big Data will allow providing any Services for automating/optimising Digital Society and Economy. Source: modified 10

11 Adaptability comes at a cost: more Complexity We re evolving from managing sets of closed physical nodes and systems to orchestrating a huge number of software entities, logically intertwined and dynamically moving. This "complexity", outstripping human control ability and configuration, and may cause non linearity and instabilities. Complexity is a property of Future Internet Lower Bound of Complexity (predictable but static, brittle) Upper Bound of Complexity (dynamic, more dependable but unpredictable) How creating the right constraints? 11

12 Operating System to create Constraints that Deconstrain it s a Universal Law Source: J. Doyle «Universal Laws and Architectures» 12

13 sort of Operating System also in organisms (e.g., bacteria) 13

14 Quest for cognitive Operating Systems/Platforms Vision and Model Trends Examples of activitie Applications/Services (X-as-a-Service) Northbound interfacing Real Time Cognitive Operating Platforms Southbound interfacing Infrastructure (including IT, Network and Terminals) Service unification paradigm: i.e., SDN controller, network function, cloud services are just like apps to be execute on an Operating Simplification of System interfacing and unification of templates Automated of Operation processes Agile end-to-end provisioning Security by design Programming languages and configuration protocols Commoditization (e.g., Central Offices to become DC based on almost standard h/w); Disaggregation Into components X-OS/CORD 5GPPP Intent framework (IETF) TOSCA/YANG (OASIS, IETF) OpenStack, ONF/ONOS, CORD, ETSI NFV, OpenMANO, MesoSphere, etc Cloudlet, OpenFog, ETSI MEC, IEEE SDN OMEC OpenFlow, etc NetConf,, P4, etc. Open Compute Project (OCP) Telecom Infra Project (TIP) IEEE SDN OMEC ETSI MEC, etc 14

15 some clear evidences 15

16 some clear evidences Prof. Geoff Hinton working at Google to develop a cognitive OS, equipped with algorithms to encode thoughts as sequences of numbers ( thought vectors ): target is an OS with human-like logic and capacity for reasoning. 16

17 some clear evidences: towards an A.I. Internet Self-Driving Vehicles ar/ Ambients that learn es/freddiedawson/2016/05/ 24/the-house-that-learnsbringing-artificialintelligence-into-thehome/#36f0e58483dc Genetics, Designing properties of drugs eases/ /imi-plt php Financial, Markets predictions Robots for HF trading re-high-stress-decisions-best-made-bybots/?utm_content=buffer4c953&utm_me dium=social&utm_source=twitter.com&ut m_campaign=buffer Jeff Bezos (CEO of Amazon): A.I. is going to become gigantic and it's probably difficult to overstate the impact it will have on society over the next 20 years 96/jeff-bezos-says-ai-could-become-amazons-fourthpi.html 17

18 it s a matter of a universal set of abstractions Data flow graphs describe computation with a directed graph of nodes & edges. Nodes typically implement mathematical operations, but can also represent endpoints, to push out results, or to read/write persistent variables. Edges describe the input/output relationships between nodes, carrying dynamically-sized multidimensional data arrays, or tensors. Nodes are assigned to computing nodes and execute asynchronously and in parallel once all the tensors on their incoming edges becomes available. 18

19 A glimpse into the future: key areas Definition of a universal set of Abstractions Services to be modeled as complex graph of operations dynamically allocated on a continuum of logical resources; Machine-Deep Learning and A.I. in general to make use / exploit this widely. Adoption techno-economic systemic perspectives Humans will be more and more in the loop steering Future Internet dynamics, but also things, machines and various software entities (e.g., A.I. Avatars) Layered and distributed Operating Systems/Platforms (with local-global cognition capabilities ) to set the equilibria Adaptability vs Complexity. Design of Security: immune system is a good metaphor! looking for data patterns, just as our immune system looks for patterns to identify pathogens, by innate and adaptive 19

20 Learning from the Internet of bacteria there are more bacteria in your body than stars in our entire galaxy! my hope is that the beauty and purpose of this microscopic universe can inspire new and creative tech. approaches for the future anscript?language=en 20

21 Grazie!