Software-Defined Fabrics for IoT at Scale Alberto Leon-Garcia - PowerPoint PPT Presentation

Software-Defined Fabrics for IoT at Scale Alberto Leon-Garcia University of Toronto Scientific Director, NSERC SAVI Research Network alberto.leongarcia@utoronto.ca 1

2 Context ¡ The Challenge ¡ By 2050 ¡ Over 70% of world population will live in cities ¡ Occupy 2% of landmass ¡ Consume 75% of resources ¡ The Opportunity ¡ To enable livable and sustainable cities and urban regions ¡ economic, environmental, social ¡ Our Focus ¡ Platforms to enable Smart City Applications ¡ Converged Cloud computing, SDN, and IOT

3 IOT at Scale ¡ Visualization ¡ Requirements ¡ Learning and Intelligence ¡ Real-time Situational Awareness Smart Applications Enablement ¡ ¡ System Dashboard Available on Demand ¡ Secure and Private ? APIs provide real-time, historical, value-add data ¡ ¡ Continuous Monitoring ¡ Analytics & Machine Learning ¡ Anytime, Anywhere, Authorized ¡ Responsive Incident Management, Emergency Response ¡ ¡ Data Collection & Historical Record ¡ Standard & Custom Reporting ¡ Trending & Forecasting ¡ Scalable Event Planning & Management ¡ ¡ Flexibile & Extensible data types ¡ KPI Analysis ¡ Cost-effective Control, Planning, Optimization ¡ Sensor and Actuator Gossamer Sensor and Actuator Gossamer

A Layered Architecture 4 … Custom Urban Congestion 3 rd Party SaaS Portal KPIs Planning pricing Apps APIs Analytics Algorithmic BIaaS Engines Engines Publish/Subscribe Overlay Information-Centric Data Dissemination PaaS End-To-End, Multi Domain, Orchestration Monitoring & SDI Resource SDI Manager Topology Manager Management Analytics Software Defined Infrastructure Multi-Tier Access/Things Cloud Controllers (SD) Network Controllers Controllers Resources Phys.

Traditional ITS Data Flow • Traffic Cameras Road Authorities • Lane Usage Status • Bus Movement Information Transit Operators Public Safety • Accident Reports Traffic Agencies Management • Construction Incidents Municipalities Center • Weather Conditions Environment Canada • Road Conditions Road Sensors

Supporting Public & Private Providers Private App Provider: · Traveler Assistance Public App Provider: · Personalized Routing · ITS Services · Fleet Management Control Content-based Routing (Publish/Subscribe) Clients (publisher/subscriber) Content-based Router Sensing Truck Computers Cluster Laptops Road Sensors V2V A B Workstation Computers Switch C Database Server Farm Intelligence

Demo: CVST Portal of Greater Toronto Area Traffic ¡ http://portal.cvst.ca

A Layered Architecture 8 … Custom Urban Congestion 3 rd Party SaaS Portal KPIs Planning pricing Apps APIs Analytics Algorithmic BIaaS Engines Engines Publish/Subscribe Overlay Information-Centric Data Dissemination PaaS End-To-End, Multi Domain, Orchestration Monitoring & SDI Resource SDI Manager Topology Manager Management Analytics Software Defined Infrastructure Multi-Tier Access/Things Cloud Controllers (SD) Network Controllers Controllers Resources Phys.

Application-Enablement in Multi-tier Clouds ¡ Mul$-Tiered Cloud: Core, Smart Edges, Access, vCPE, fog • Management of Software-Defined Multitier Cloud • Computing, Networking, FPGAs, GPUs, Software-Defined Radio • Integrated real-time resource measurement and monitoring • Software-Defined Network Services • Integrated secure networking over SDN and legacy networks • vCPE/Sensors • virtual Customer Premises Edge (vCPE) and sensors, local resources at customer premises, managed from the Smart Edge • Application Platform : • E2E orchestration of applications across federated infrastructures • Spanning core, Internet, smart edge, programmable access, and sensors

1 SAVI Testbed 0 U of T Edge U of T Core McGill Edge Application X C & M Victoria Edge C & M Resources C & M C & M Application Y Resources C & M SAVI T estbed Network Virtual Network CANARIE ORION CANARIE Carleton Edge Calgary Edge Carlton Edge Virtual Network C & M C & M C & M C & M Waterloo Edge YorkU Edge ¡ Cross-Canada Testbed; L2 backbone ¡ Federated with GENI in the USA, Two SAVI nodes in US, L2 connectivity ¡ One SAVI node in Korea

SAVI SDI Architecture & JANUS Manager External Entities Open Interfaces Control & Management SDI Resource SDI Manager Topology Manager Monitoring & Analytics Management System Resource Controller A Resource Controller B Resource Controller C Resource Type A Resource Type B Resource Type C Physical Virtual Converged Heterogeneous resource resource Resources Each resource type controlled by specialized controllers • Each controller communicates with logically central C&M framework • SDI Manager, Topology Manager, and Monitoring and Analy5cs • Exposes open interfaces for external users and en$$es •

Janus Network Control Module Open APIs Network Control Module App Flow Manager Manager Manager Handler Access Graph Setup Path ARP Topology Info. SDI Graph Topology Manager Network Controller Drivers Port & Flavor info. FlowStore Nova/Neutron Janus Plugins OpenFlow OpenFlow Controller n Controller 1 FlowStore FlowStore Cache Cache • No Broadcast • Quality of Service • Routerless IP • NFV Service Chaining • Non-IP Traffic • Security

Flexible Creation of Smart Apps on virtualized Customer Premises Edge SAVI vCPE SAVI Smart Edge Integrated Management S mart ! ! Apps Management Portal H ome ! ! Janus Orchestration P rivate N etwork MonArch Monitoring/Analytics Cloud + SDN V ideo S treamer 13

Small SAVI vCPE ¡ Supports compute and networking virtualization Customer&Premise& Janus&SDI&Manager& C o n t r OpenStack&and& o l & OpenFlow& ¡ Able to host multiple applications SAVI&Small&Edge& ¡ Connected to the SAVI Smart Edge with VPN technology SAVI&Very&Small&Edge& Smart&Edge& ¡ Has all the capabilities provided from the virtualized system in SAVI (e.g. tenant isolation) ¡ Capable of leveraging advanced Features of SAVI SDI (e.g. NFV Service Chaining)

SAVI vCPE Use Cases ¡ Gateway for Internet of Things devices ¡ Web acceleration and service delivery point ¡ NFVs such as proxy, firewall, IDS/IPS and VPN services ¡ Smart home and office ¡ Connected vehicles ¡ Smart Transportation ¡ Smart Cities (lighting, air quality, … , carbon footprint)

Monitoring CO 2 ¡ Sensor nodes : consists of a carbon dioxide sensor and radio module ¡ Relay nodes : responsible for forwarding any received packet toward the destination ¡ Control Room : destination of sensor data and data aggregation point

1 Research Agenda 7 ¡ IoT Virtualzation ¡ Sensors, Actuators, Networks ¡ SD Fabrics for City-Scale Infrastructure ¡ Virtual Slices: Core + Smart Edge + vCPE + vIoT ¡ Synergy with fiber-based broadband access ¡ Synergy with wireless access: LTE, 5G, and more ¡ IoT-scale data gathering and dissemination ¡ Software-defined Information Centric Networking ¡ Distributed storage, processing and aggregation ¡ Security and Privacy ¡ Low-latency and QoS where needed ¡ Intelligence at Scale ¡ Distributed analytics and deep learning

1 Conclusion 8 ¡ The SAVI multitier cloud based on SDI can provide flexibility, performance, scalability and cost effectiveness to support smart city applications ¡ CVST application platform supports creation of smart transportation applications ¡ Together SAVI & CVST provide a template for smart city application platforms

1 9 Thank You!