2EServiceSlicingPlatformfor

Transcription

1 2EServiceSlicingPlatformfor pplication-drivenwirelessnetwork avi Ravindran and G.Q.Wang and ) Huawei Research Lab, Santa Clara) Open Networking Summit, Mar, 2016 )

2 Agenda 1 5G- Motivation - 5G Objectives and Target Architecture - Application Driven Networking (ADN) - Information-Centric Networking 5G- Architecture & Network Slicing 2-5G- Network Architecture - 5G- Network Slicing - Cross Layer Vs Overlay Slicing 3 5G- Platform - Virtual Service Edge Router (VSER) Platform - Services (Video/IoT) - Mobile Edge Service Delivery Model

3 5G Requirements 5G Requirements irements have been set in [1] Application Requirements Traditional and Emerging IoT(M2M)) 1-10ms depending on the application >1000x Capacity, >10-100x Bandwidth Security, Mobility, Disaster Scenarios Enable Service Centric Networking Allow new Business Models XaaS(Naas/SaaS/PaaS) Leverage NFV/SDN Not only Connectivity Services Service Platform for Users and ASPs Personalized and Contextualized Evolving Network Architecture Network Slicing Frameworks Application Driven Networking Vision based Network Architecture for ADN MN White Paper on 5G: // Massive IoT MBB Everywhere (+50Mbps) TRUST EXPERIENCE SERVICE Pervasive Video 5G Value Creation Capabilities 5G Target Architecture

4 lication Driven Networking (ADN) Vision Model of Voice Model of Internet Model of IOV S-Plane (Application Abstraction) App Oriented Network Restructure 1. Application abstraction 2. App driven management of network and data resources 3. On-demand network reconstruction Radio Resource Network Resource 1 Network Resource 2 DC Resource C-Plane (Control Abstraction) App Oriented Network Scheduling 1. Fast and slow control to achieve optimal resource allocation for apps Network Slice for Voice Network Slice for Internet Network Slice for IOV D-Plane (Information Flow Abstraction) App Oriented Layered Control 1. Decouple control of different services 2. Guaranteed performance and scalability for apps ADN Goals: 1.Application layer abstraction in the Service Plane 2.Application Driven Control Plane 3.Information layer abstraction in the Data Plane 4.Heterogeneous services on a unified infrastructure.

5 FIA:Design Targets stic design for future Apps, hyper-connection, mobility and secu Internet of (things/service/people/information) mart Home V2V earable Net FIA Info Net Apps L3/IP L2/MAC L1/PHYs Apps Info-centric L3/L2/MAC L1/PHYs New waist, New architecture, New Apps

6 as Application Abstraction Network Layer Multicasting/Multi-Homing Mobility Security Application-Centric Naming Caching Original Internet to connec Hosts evolved to more comple overlay to support efficient Application Communication. IP Infrastructure I Service Edge IoT Applications Real time Services (e.g. Conferencing) Non-Real time (Video Distribution..) Application Abstraction (Flexible & Contextual Naming/Security/Trust/Service-QoS) Infrastructure (Mobility/Security/Caching/Computing) Tactile Internet IC Many challe Scalability, Complexity, Bu Model Core Routers Transport Layer (BT/ /Optical/Ethernet/IP..)

7 5G- Network Architecture - 5G- Network Slicing Framework - Cross Layer Vs Overlay Slicing

8 Evolving to 5G- Architecture LTE Network Architecture 5G- Architecture (Licensed/Unlicensed) Mobility/Security/Content -Centric Future Internet Arch. Serv Contro Current Architecture Hybrid 3GPP & IP Arch Complex Control interfaces. Technology Specific (2G/3G/4G) IP Tunneling in Data Path Application Gateways Bottlenecks, Sub optimal routing 5G- Architecture Flat Application-centric Network Architecture. No Gateways or Tunnels In-build Mobility In-build Security, Storage and Computing Technology Neutral (any RAN) Application-centric Control Plugin Radio, Licensed/Unlicensed. Raychaudhuri, Next Generation Mobile Network Architecture, WinLab IAB Review meeting, w.winlab.rutgers.edu/iab/ /videos/08.mp4

9 SE-RAN & -SAN: Service-Enabled 5G Architecture ayer Service Connectivity Layer DC & App layer NG C-RAN SE- RAN Routing, Storage Security, Mobility Computing (Level 1) Routing, Storage Security, Mobility Computing (Level 2) Service Virtualization Platform Network Resource mgmt Service Router Router, -BS -BS -Wifi-AP Low-Power Wireless RAN (Lo-RAN) Sensors ProximityWPAN WLANWNANWWAN Common Information Centric Bus (CIBUS) -SR Service Mobility -SR Service Access Network (SAN) -GW Flat Architecture Model based on Heterogeneous Radio Access & mobility Unified backbone/core transport Ubiquitous security Context-aware Self-x networking & mgmt One Protocol Router Data Cente Internet Core Enterp

10 G C-RAN SE-RAN Functional Features Flat Architecture and Heterogeneous Radio Access Edge Cloud Intelligence all the way to the BS and UE Distributed Routing, Storage/Caching, Computing, Mobility Functions Application/Services Binds to Names Name Based Routing/Forwarding Mobility/Migration Multi-homing/Multicasting Data based Security and Trust (Enforceable on the Infrastructure) D2D/P2P/MP2MP Adaptable and Service Centric (Low Latency, High Throughput etc.) mmon Information-Centric BUS (CIBUS) Addresses the need for next 50B IoTdevices on 5G Middleware over Constrained and Non-Constrained Devices Enables Self-X (Discovery, Routing, Service Point Attachment) Contextualized Device/Service Discovery & Processing Heterogeneous Radios (WPAN,LORAN, WLAN etc.) Local/Global Naming Service Hierarchical Data Processing Security/Trust Management PUB/SUB System for Large scale Content Distribution Open-APIs for Inter-IoT system connectivity Services Discovery Management e.g., Network services discovery Device discovery Name Management e.g., Naming mgmt Name certification Name resolution Applications Service Mgmt/Control API Context Processing e.g., Data aggregation Data filtering Policy Based Routing, Forwarding and Mobility LEAN Protocol Light-weight OS * e.g., Self Clustering Context-supervised routing [ Socket] Devices ZigBee a* BT SigFox G Cellular Proximity WPAN WLAN WNAN WWAN CIBUS Middleware CIBU middle

11 5G Network Slicing Realize end-to-end dedicated network for specific service scenario. Spans UE, RAT, Infrastructure, Edge Clouds, DCs Meet specific service objectives of Security, Latency, Throughput, Reliability etc. End-to-end virtualization of Compute, Bandwidth, Storage, Data, Device resources. Virtualization allows resources to be efficiently flexibly managed among various slices. Multi-modal delivery connectivity: M2M, P2P, P2MP and MP2MP New APIs and Service Functions in the Network Architecture Specialized Control Plane and Service Control functions to enable rich services. E.g. Mobility-as-a-service, Security-as-a-service service, Context Processing etc. Creates scope for new network Architectures like to address 5G Challenges NGMN White Paper.

12 5G- Network Slicing Framework Service Plane Voice Video V2V DTN Service Orchestration Plane Elastic Service Packet Delivery Agile /IP Flow Switching IP Service/Network Controller TCP/IP Services slice Service/Network Controller Services Slice Programmable Transport/Compute/Storage Layer Access/Ed ge Cloud Core DC Programmable IP/ layer binding to L2 VSwitchfor flow level programmability Software Defined Radio X86 Servers Hosting IP/ forwarder Network/Service Functions VSwitches Programmable Switches to handle /IP Flows Network Slicing framework requires programmability at Transport/Compute/Storage levels. Realizes the objective of Application Driven Networking with a Bare Transport The objective is to create elastic /IP slices and its associated control/service plane on demand. Identified are also some of the end-to-end technology enablers X86 Servers /IP VM Services VSwitches U, FG, IMT 2020 Network Standardization Requirement for 5G :// SG TD-PLEN-0208!!MSW-E.docx

13 -IoTService Function Storage (forwarders/iotsf etc.) are Defined UE pp N itch -IoT as a Cross-Layer Slice {_iot_slice_id} Service Orchestrator 3 Software Defined RAT for Service Naming Service Mobility Service Discovery Interest/Data 4 vswitch Network Slicing Framework/Orchestrato r IoT Compute 2 Fixed Network Programmable CP IoT Compute vswitch POF IP Service Orchestrator (Monitoring and management ) IoTService Manager IoT Service Requirements {Naming, Security, Mobility, Computing Caching, Bandwidth } QoS{latency, loss} Connecitity{Devices, Types etc. 1. Chooses 2. Define Service ID 3. Determine Compute/Cache/BW Resources 4. and Service Function Placement 5. End-to-end Service Flow Configuration Service Chain IoT Compute vswitch 1 End to end slicing results in slice across multiple transport substrate (IP/L2) Mobility for IoT applications handled by. Per-Hop state allows granular QoS to flows.

14 Software Defined Service Overlay IoT Video Conferencing Service Orchestrator APP UDP/IP Service/Network Controller Conf.APP UDP/IP ISR Other IC Service IP/MPLS (QoS Provisioning for Flows) Edge Cloud IoT APP UDP/IP Fine grained slicing limited to end points, UE, Radio and the Cloud. Transport multiplexes IP and flows. Further IP flows can be marked to identify flows. Extensions to Service Orchestrator to control ISR and support Service Applications.

15 5G- Platform - VSER Platform - Services (Video/IoT) - Mobile Edge Service Delivery -ONS Demo

16 VSER Platform: Virtual Service Edge Router ER Services (Video Conf./IoT) Service Orchestrator Router Platform (CCN) Service Management VSER Platform Highlights COTS Platform Service Virtualization Service Function Life Cycle Orchestrat and Management (by OpenStack and Flood Based Service Function Chaining L E A-UNI Edge- Cloud Service Orchestrator ( Cloud Controller + Network Controller) SAP Service Gateway Platform API SAP Service Gateway Service-1 Router L3/L2 Service-1 Router L3/L2 C-API Service-2 Service-2 VFSR-1 VSER-1 Service Profile Manager VFSR-2 VSER-2 S-UNI Service Manager Service Manager Interest/Data SF1 akraborti, Ravi Ravindran et al, A Scalable Conferencing framework over Based VSER Platform,, Sigcomm, 2015 vindran et al, Towards Software Defined Based Edge Cloud Services IEEE, CloudNet, 2013 ifard, R. Ravindranet al, An Information Centric Networking Approach Towards Contextualized Edge Service, IEEE, CCNC, 2015 ASP-1 Service Manager ASP-2 SF2 ASP-3 SF Chaining SF3 Service Discovery, Service Contextualizatio over UE to VSER i/f PULL/PUSH, MP-to-MP communication Unified control functions interworking wit SDN/NFV Optimized software stack using Multi-thre CCNx forwarders

17 rverless Scalable Audio-Video Conferencing over VSER Interest {Notify: { VSER://conferencesession/karen/<fingure-print>} VSER- NSAP Conference Controller VSER- NSAP Interest {Content: { VSER://conferenc session/karen/<fingure-print>} Edge Cloud Edge Cloud Edge Cloud Interest {Content: { VSER://conferencesession/karen/<fingure-print>} VSER- NSAP Edge Cloud Edge Cloud Notifications Content Edge Cloud Edge Cloud VSER- NSAP Bandwidth Scales O(N), where N =#of Participants Interest {Content: { VSER://conferencesession/karen/<fingure-print> nference Controller Functions Enable MP-2-MP Connectivity Conference Level Virtualization : Multiple Simultaneous Conferences, Service Scaling, Dynamic Name Based Routing, Conference Monitoring and Management. Context level Adaptation akraborti, Ravi Ravindran et al, Based Scalable Audio/Video Conferencing over Virtual Service Edge Router (VSER) Platform Sigcomm, 2015 gam, Ravi Ravindran et al, Realtime Multi-Party Video Conferencing Service over Information-Centric Network, Workshop on Mutimedia Streaming in (MuSIC), 2

18 -IoT Edge Computing over VSER h: Interest{/sensor-service-x: nsorid=0xabcd Temp=Value} } pp al Health itoring Sensor Service-x Caching -R CN based IoT enables Self Configuring systems [1]. Republished CN Allows Push/Pull simultaneous mode, Cache improves Scalability + Reliability of the system ere consumers need to be notified based on their varying criticality E.g. User/First-Responder/Healthcare Provider ess critical consumers can rely on cache while more critical consumers rely on notification. otifications lost cannot be reproduced, cache helps from this perspective too. ncreases the Scalability + Reliability of the IoT system. Health Service-x Caching -VSER Service Controller App. Push MCORD Caching S., Zhang, Y., Raychaudhuri, D., Ravindran, R., Zheng, Q., Wang, GQ., and L. Dong, "IoTMiddleware over Information-Centric Network", l Communications Conference (GLOBECOM) Workshop, R Pull Interval : ~1hr Interval : RT Interval : 30mins M First R Hea Pro

19 Mobile Edge Service for Operators bile Edge Cloud Services irtualized CO pen Service APIs ontextualized Service Delivery etwork-as-a-datacenter mart Pipe & Better policing, and QoS ccess-service to Service-access eamless Service Mobility cale backbone mplified network architecture IP packet IoE/ Cloud M2M Edge Cloud Service Access Point(SAP) packet Named Application Entities Metro 7 Edge Cloud Social Cloud Pub/Sub Cloud Service Delivery Layer ID-based Open API Context-driven Substrate Trail Locator-based Open API Metro1 over PIPE Abstraction Edge Cloud Metro2 Carrier Substrate Trail Network (IP/MPLS/Optical) Metro 6 Metro 5 Edge Cloud - Routing + Storage + Computing - App abstraction and Pipe abstraction together - Contextualized Cloud Mobilenetwork resource optimization - Name-based Enterprise data distribution, sharing, Mobility & Security Edge Cloud Metro3 IP packet Edge Cloud packet Metro4 IP packet Data Center Edge Cloud Enterprise IP packet packet packet Edge Cloud Deployment

20 emo: Network Slicing and Service Orchestration for Future Applicati Service Manager (Rest API) p Wifi Virtual Service Edge Router (VSER) (-API) SAP CCN IP VSER Conf. Service Comp. Video Service Orchestrator Service Controller Open Stack (OpenFlow) IoTService Orchestrator Mobility Controller Network Controller ONOS Video Conf. Controller IoT Controller SAP CCN IP VSER Conf. Service Comp. Conf.App CCN IP (Rest API) Network Controller Application OpenStack Conference Controller Core (-API) Edge Cloud-1 IP Transport Edge Cloud-3 ONOS Device Packet Wifi VSER VSER OpenFlow Edge Cloud-2 CCN Multicast Flows Edge Cloud-4 Prototype Architecture VSER VSER Service/Network Controller Design d-to-end orchestration of based Video Conferencing Service ogrammable CCN layer with OS and ONOS Conf. Service discovery, Service Function Placement, CCN FIB configuration to bootstrap participant join/leave etc. plication-independent independent multicasting feature which CCN enables in the backbone of the network.

21 Summary Future 5G target architecture is based on top-down serviceoriented networking objectives. provides a good application abstraction based networking layer to meet ADN & 5G objectives 5G- networking enables in-network mobility, security, caching, computing desirable by applications. Network Slicing in 5G allows new network architectures such as to deliver services and to utilize resources efficiently. based Mobile Edge Cloud Services is a immediate benefit to operators.

22 Thank you Copyright 2015 Huawei Technologies Co., Ltd. All Rights Reserved. The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.