Platforms Convergence and Open APIs: information about some recent activities in AIOTI WG03 HLA group and ITU-T IoT and SC&C related initiatives

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1 IT Week 2018, Bilba IT4SCC WS - Breakut D: Open APIs 7 June 2018, 12:30-13:30 Platfrms Cnvergence and Open APIs: infrmatin abut sme recent activities in AIOTI WG03 HLA grup and ITU-T IT and SC&C related initiatives Marc Carugi ITU-T SG20 and AIOTI WG03 Senir Cnsultant marc.carugi@gmail.cm

2 Frm vertical t hrizntal platfrms The situatin f technlgy separatin amng IT applicatin dmains prduces market separatin VERTICAL MODEL [per sil integratin] HORIZONTAL MODEL [platfrm based integratin] Applicatin specific platfrm Applicatin specific platfrm Applicatin specific platfrm Cmmn platfrm meter vehicles Other mdules and terminals meter vehicles Other mdules and terminals Platfrm cnfigured per vertical applicatin (applicatin dmain) Hrizntal platfrm supprting multiple vertical apps (with cmmn cmpnents and applicatin-specific cmpnents) Deplyment reality: different (dmain) platfrms will cntinue t c-exist and need t interperate Per sil integratin des nt scale and limits evlutin pssibilities Platfrm based integratin with the key rle f pen standards and pen surce 2 2

capabilities Device and Gateway capabilities Crss-layer Management Capabilities

3 The IT Reference Mdel defined by ITU-T Capability view f the IT infrastructure Applicatin capabilities Service Supprt and Applicatin Supprt capabilities Netwrk capabilities Device and Gateway capabilities Crss-layer Management Capabilities Crss-layer Security Capabilities Surce: ITU-T Y.2060 /Y.4000 Overview f the Internet f things 3

The AIOTI High Level Architecture (HLA) aiming t prmte

architecture standardizatin effrts Surce: AIOTI WG03 (IT

0 AIOTI HLA functinal mdel ITU-T IT Reference Mdel

4 The AIOTI High Level Architecture (HLA) aiming t prmte cnvergence and harmnizatin acrss the different IT architecture standardizatin effrts Surce: AIOTI WG03 (IT Standardisatin) - HLA Rel. 3.0 AIOTI HLA functinal mdel ITU-T IT Reference Mdel mapping t the AIOTI HLA A number f IT Reference Architectures acrss SDOs, prjects and market deplyments 4

5 Smart Cities as super applicatin dmain f the IT Integratin f multiple verticals Citizen-centric services Still a number f technical challenges, incl. interperability, scalability, dynamicity, security and privacy The brain f the city Smart City Platfrm Data cllectin, analysis, knwledge, planning, actin The senses f the city Scial netwrks Mbile applicatins WrldWideWeb Legacy Devices IT Devices City data surces Surce: Dr. Levent Gürgen 5

architecture fr IT Virtualisatin Mapping f micrservices-based

6 IT Virtualisatin: the micrservices-based architectural apprach An example f micrservices-based functinal architecture fr IT Virtualisatin Mapping f micrservices-based functinal architecture n AIOTI HLA Surce: AIOTI High Level Architecture R4.0 6

7 BDVA s BDV Reference Mdel mapping t AIOTI High Level Architecture Surce: AIOTI High Level Architecture R4.0 A key step in frnt f the IT standardizatin wrk plan: Big Data-IT architectural integratin 7

8 A fundatinal ITU-T Recmmendatin n Big Data in IT: ITU-T Y.4114 Specific requirements and capabilities f the IT fr Big Data Specific requirements and capabilities the IT is expected t supprt t address the challenges related t Big Data IT Data prvider IT data IT Data carrier IT data IT Data cnsumer Data Preprcessing Data analysis Data query IT data IT data Data cllectin Data visualizatin data cllected frm things data injected frm external resurces IT Data framewrk prvider IT Data applicatin prvider The IT data rles identified in Y.4114 [the key rles relevant in an IT deplyment frm a data peratin perspective] Data Transfer Data strage Abstract representatin f IT data peratins and related data flws (diverse cncrete IT deplyments d nt imply unique lgical sequencing f IT data peratins) ITU-T FG-DPM t build n it (e.g. Data sharing as critical additinal data peratin) 8

9 Descriptin f the IT data rles identified in Y.4114 IT Data prvider: it cllects data frm things, injects data prcessed within the IT system as well as data frm external surces, and prvides them via the IT Data carrier t the IT Data cnsumer (ptinally, the applicatins prvided by the IT Data applicatin prvider may execute relevant data peratins with the supprt f the IT Data framewrk prvider). IT Data applicatin prvider: it prvides applicatins related t the executin f IT data peratins (e.g. applicatins fr data analysis, data preprcessing, data visualizatin and data query). NOTE - The applicatins prvided by the IT Data applicatin prvider can interact with the infrastructure (e.g. strage clud) prvided by the IT Data framewrk prvider thrugh the IT Data carrier r run n the infrastructure (e.g. scalable distributed cmputing platfrms) prvided by the IT Data framewrk prvider. IT Data framewrk prvider: it prvides general IT data prcessing capabilities and related infrastructure (e.g. strage and cmputing resurces, data prcessing run time envirnment) as required by IT Data prvider, IT Data carrier, IT Data applicatin prvider and IT Data cnsumer fr the supprt f data peratins executin. IT Data cnsumer: it cnsumes IT data. Usage f the cnsumed data depends n the applicatin purpses. IT Data carrier: it carries data amng IT Data prvider, IT Data framewrk prvider, IT Data applicatin prvider and IT Data cnsumer. NOTE - An actr f a cncrete IT deplyment can play multiple rles. As an example, an actr executing data analysis plays the rle f IT Data applicatin prvider, but it als plays the rle f IT Data prvider when it sends the results f this data analysis t ther actrs. Y.4114 describes als key pssible mappings frm IT business rles [Y.2060] t IT data rles, as well as an example f deplyment scenaris with respect t IT data rles (Appendix). 9

Crss-dmain Data Sharing example f cntext infrmatin management

dmains that is nrmally held in separate sils - e.g.

Name-Surname Lcatin TD list Shp Lcatin Business name Franchise

users (thrugh mbile apps), sensrs/it devices Standard specificatins

10 Crss-dmain Data Sharing example f cntext infrmatin management Crss-dmain uses cases require access t infrmatin frm different dmains that is nrmally held in separate sils - e.g. sharing f cntext infrmatin Applicatin Bus Driver Lcatin License plate N. passengers Cntext Infrmatin Citizen Birthday Preferences Name-Surname Lcatin TD list Shp Lcatin Business name Franchise Offerings Different surces f cntext infrmatin Existing systems, users (thrugh mbile apps), sensrs/it devices Standard specificatins are needed fr cntext infrmatin management T ensure vendr neutrality fr users such as Cities T reduce technlgical barriers t develpment/deplyment, t enable innvative services 10

Applicatins Applicatins Data sharing via a crss-dmain

layer n tp f IT platfrms - especially targeting Smart

Pht-App Applicatin CIM-API [JSON-LD] Cntext Infrmatin

Open Data Data Publicatin Platfrms Mca IT Infrmatin

verticals, interperable T cmpare candidate prtcls fr

identify data exchange API T develp example data mdels

11 Applicatins Applicatins Data sharing via a crss-dmain Cntext Infrmatin Layer (ETSI ISG CIM) An inf-exchange layer n tp f IT platfrms - especially targeting Smart City applicatins APP EXAMPLE: Citizen Cmplaints Pht-App Applicatin CIM-API [JSON-LD] Cntext Infrmatin Management CIM-API [JSON-LD] Cntext Infrmatin Mdels Open Data Data Publicatin Platfrms Mca IT Infrmatin Systems IT ETSI ISG CIM gals infrmatin-centric, jining verticals, interperable T cmpare candidate prtcls fr crss-dmain inf exchange, ptential enhancements T identify data exchange API T develp example data mdels Cllabratin with SDOs (ITU-T FG-DPM, nem2m, W3C...) & pen-surce implementatins 11

12 Enhancing the netwrk s Data Prcessing and Management capabilities with Machine Learning (ML) Ptential f ML fr netwrk design, peratin and ptimizatin cping with massively increased cmplexity enhancing netwrk peratins efficiency and rbustness increasing netwrk self-rganizatin feasibility prviding reliable predictins As well as ptential f ML t enable new advanced applicatins But a number f challenges need t be addressed [beynd trust] hw t deal with stringent requirements f many applicatins (latency) hw t ensure rbust ML given small data sets and under latency cnstraints hw t deal with distributin f data at different lcatins and diverse data frmats usage f distributed learning t have efficient usage f scarce resurces hw t deal with (wireless) channel nise, dynamicity and unreliability hw t ensure gd tracking capabilities hw t explit cntext inf and expert knwledge (hybrid ML appraches) Surce: discussin in initial meetings f ITU-T FG-ML5G ITU-T FG n Machine Learning fr Future Netwrks including 5G (FG-ML5G) - created in Nv 2017, SG13 as Parent ITU-T Study Grup - a number f challenges and pprtunities cmmn t the IT

13 ITU-T Fcus Grup n Data Prcessing and Management t supprt IT and Smart Cities & Cmmunities (ITU-T FG-DPM) Essential tasks Identify challenges in IT and smart cities fr DPM Identify key requirements ad capabilities fr DPM Prmte the establishment f trust-based data management framewrks fr IT and SC&C Investigate the rle f emerging technlgies t supprt data management incl. blckchain Identify and address standards gaps and challenges WG1 - Use Cases, Requirements and Applicatins/ Services WG2 - DPM Framewrk, Architectures and Cre Cmpnents WG3 - Data sharing, Interperability and Blckchain 1 st meeting in July 2017 (SG20 is parent SG) 1st ITU Wrkshp n Data Prcessing and Management fr IT and Smart Cities & Cmmunities: Brussels, Belgium, 19 Feb WG4 - Security, Privacy and Trust including Gvernance Main pririty T prpse mechanisms, framewrks and guidelines WG5 - Data fr supprting security, privacy and Ecnmy, interperability f datasets and data management systems in IT and mnetizatin and smart cities cmmercializatin Liaisns/interactins established with numerus SDOs, Fra, Alliances and prjects E.g. ISO, ETSI ISG CIM, BDVA, varius H2020 prjects 25 13

14 Onging studies in ITU-T FG-DPM FG-DPM Wrking Grups WG1 Use Cases, Requirements and Applicatins/Services WG2 DPM Framewrk, Architectures and Cre Cmpnents WG3 Data sharing, Interperability and Blckchain WG4 Security, Privacy and Trust including Gvernance WG5 Data Ecnmy, cmmercializatin and mnetizatin Partial list f deliverables D1.1 Use Cases Analysis and General Requirements fr DPM D2.1 DPM Framewrk fr Data-driven IT and SC&C D2.2 DPM Functinal Architectures D2.3 Data Mdeling and Frmats Specificatin fr DPM D3.1 Framewrk f Open/Private Data D3.2 Technical Enablers fr Open Data Platfrm D3.3 Framewrk t supprt data interperability in IT envirnment D3.6 Blckchain-based Data Exchange and Sharing Technlgy D4.1 Framewrk f Security and Privacy in DPM D4.5 Data Gvernance Framewrk fr IT and SC&C D5.1 Mdeling f Data Ecnmy fr value creatin and Stakehlders identificatin D5.2 Business mdels, cmmercializatin and mnetizatin t supprt data ecnmy D5.3 Data ecnmy impact assessment, plicy and sustainability implicatins Crss-WG studies: DPM taxnmies and vcabularies, gap analysis, DPM standardizatin radmap 14

15 Use Cases Analysis and General Requirements fr DPM (FG-DPM D1.1): a key entry pint fr the whle FG-DPM wrk Objectives Identify frm DPM perspective - per each use case - ecsystem s actrs and business rles, data characteristics, capabilities, requirements and ther Facilitate cmparisn amng different use cases (acrss single r multiple dmains) t enable cmmn DPM features t be identified/adpted, and facilitate single/crss-dmain applicatins implementatin Allw creatin f new services at little extra cst Feed ther FG-DPM deliverables (DPM framewrk, area-specific framewrks, thers) Prgress s far Unified DPM Use Case template develped and disseminated t numerus ptential DPM use cases cntributrs (incl. SDOs, Alliances, EU H2020 prjects) Numerus DPM use cases cllected Cmparisn f DPM use cases started - identifying cmmn/use case-specific requirements DPM capabilities glbal picture discussin initiated (WG1, WG2, thers) 15

16 Data Cre Activities Data Ecnmy, cmmercializatin and mnetizatin (nging FG-DPM D5.1) Data creatin Data cllectin Data strage, aggregatin and rganizatin Data prcessing and analysis Data marketing and distributin Data use Data Supprt Activities Data Laws, Regulatins & Plicies Data Security & Privacy Related Services Data Value Chain (business perspective) ICT Cnnectivity & Infrastructure Services Data laws, regulatins and plicies: frmulatin and enfrcement f data related laws, regulatins and plicies Data security and privacy services: prvisining f data related security and privacy services fr implementing and enfrcing data laws, regulatins and plicies. ICT cnnectivity and infrastructure services: prvisining f ICT cnnectivity and infrastructure services fr implementing data value chain activities Interactin between FG-DPM WG5 (business perspective n DPM) and FG-DPM WG1/WG2 (technical perspective n DPM) 16

17 Y.SC-OpenData Framewrk f Open Data in Smart Cities (ITU-T SG20) Resilience Sustainability Invvatin Ecnmy Smart Cities Citizen Participatin Decisin Making Public Services Open Data facilitates the advancement f Smart Cities Applicatin A Annymizatin Prtectin Capability Applicatin B Prtal Capability Metadata Management Capability Traditinal ICT System Applicatin C Catalg Management Capability Applicatin D Applicatin Access Capability Open Data Access Layer Streaming Data Prcessing Capability Applicatin Layer Open Data Integratin Layer (DB, Text dcument, Streaming Data, Image, Vide, ) Surce Data Layer Functinal architecture f Open Data in Smart Cities IT Data Cllectin System Fundamental requirements f Open Data in Smart Cities Access and utilizatin f Open Data in Smart Cities Integratin and prcessing f Open Data in Smart Cities Security and privacy f Open Data in Smart Cities Laws and regulatins related requirements 17

Y.API4IOT "Open data applicatin prgramming interface fr IT data in smart cities and cmmunities" (ITU-T SG20) 6 Intrductin t Open Data... 4 6.1 Cncept f Open data... 4 6.1.1 Excerpt f Sme Key Open Data Definitins.

18 Y.API4IOT "Open data applicatin prgramming interface fr IT data in smart cities and cmmunities" (ITU-T SG20) 6 Intrductin t Open Data Cncept f Open data Excerpt f Sme Key Open Data Definitins Cncept Open Data Open Data API Cmmn Nrthbund Interface Cmmn Suthbund Interface Cmmn characteristics and high-level requirements f Open Data API Cmmn characteristics High-Level Requirements API fr Open Data Exchange Current API Slutins SynchrniCity Sii-Mbility FIWARE Internet f Things Service Enablement Data/Cntext Management GE General framewrk fr Open Data Platfrm NrthBund layer SuthBund Layer Annex A Placehlder Appendix I Large-scale Initiatives Bibligraphy A very cncrete example f standardizatin wrk item where H2020 prjects (e.g. LSPs) can cntribute 18

Use cases for DPM and the related activity in ITU-T FG-DPM

Use cases for DPM and the related activity in ITU-T FG-DPM 1st ITU Wrkshp n Data Prcessing and Management fr IT and Smart Cities & Cmmunities (Brussels, Belgium, 19 February 2018) Use cases fr DPM and the related activity in ITU-T FG-DPM Marc Carugi Champin f