Next Generation IP Networking InterDigital, Inc. All Rights Reserved.

Transcription

1 Next Generation Networking

2 Services: The Evolution to the Smarter, Living Network 5G will deliver next level of experience and enable new business models Wave 1 (Voice) Wave 2 (Visual) 5G: The Living Network Glory days of GSM IMS promises Walled garden worries! Rise of the OTT A new status quo New services, new business models The living experience Integrated telephony applications Rise of the mobile internet The video experience Video ++ IoE Tactile Internet Mission Critical 2

3 5G Network: Initial Requirements & Enablers Global consensus emerging on initial requirements and enabling concepts [ITU-R] Flat or Reduced < 1 min 1 to 10 TBps/Km 2 Very Heterogeneous > 10 services / access site 5 msec From 100 Mbps To 1 Gbps TCO Network Service Creation Time Area Traffic Capacity Network Service Mix E2E Latency User Experienced Data Rate /NFV Service Chaining Virtual Network Service Creation Traffic Localization Small-Cell Densification Contextual Networking Information- Centric Networking Fog/Edge Cloud Ultra-fast ing Multi-RAN Access 3

4 5G Network: The Rise of Net Apps Old Model of Proprietary Vendor HW Standardized Software Products GSM Mobile ing Center SS#7 Service Control Point Proprietary Middleware, Tool Chain, etc. Proprietary Operating System (e.g. Nortel SOS, Ericsson APZ, Nokia DMX) Computing Abstraction CDMA Mobile ing Center Storage Abstraction GSM Home Location Register GSM Base Station Controller Networking Abstraction Proprietary ing Hardware (e.g. Nortel DMS, Ericsson AXE, Nokia DX) Computing Storage Networking NFV + Servers Network Running Applications STANDARDIZED (3GPP & IETF PRODUCTS Based) (Still NAS Provided HTTPby mainstream RRC OEMs + Others) DIA. DNS ST-AP SPDY PDCP SCTP SSL SCTP RLC TCP EPC CDN TCP HSS RAN MAC DNS NEW Functional Standards Interfaces Servers XOS (Network Running Management Operating System) & Control (Operating System now thru Open Source forums) Computing Abstraction Be-Your-Own-Vendor OPENSTACK Storage Abstraction ONUS Networking Abstraction ODL Computing Linux Storage Kernel Networking NEW Functional Standards Interfaces Thin COTS Abstraction White Box Agent Server (e.g. Openv) Hardware (Still provided by Linux mainstream Kernel OEMs + Others) Computing Storage Networking 4

5 Diving Deeper Flexible Routing for -based Services (FLS) 5

6 Meeting 5G KPIs Your Service Just One Hop Away Enabled by our FLS Intelligence HBO NETFLIX AMAZON YOUTUBE Service Placement Latency Serving content & services under 5G constraints Mobilize CDNs COTS platform Pure E2E not sustainable Introduce CDNs The ultimate goal: One hop away CPE Distance 6

7 FLS Project Elevator Pitch Reinventing the approach to based services through backward compatible methodologies that are integrated into the network OS world of NFV/ as well as emerging 5G control architectures & designed to meet challenging 5G KPIs It looks like, it smells like, BUT with this technology inside networks will simply work better The target for this tech: Telcos & Vendors 7

8 Working with Partners Across Horizon 2020 Platform providers Vendors Content Operators SMEs Municipalities Academia & Research Institutes InterDigital, ATOS Partners (38) Huawei, NEC, Intracom, Thales Disney Research, VRT Belgium Deutsche Telekom, Orange, Telenor Guifi.net, Avanti, Primetel CTVC, Ell.i, Martel Consulting, Ubitech, B-COM, Eurescom, Nextworks Barcelona, Bristol-is-Open Athens University of Economics & Business, Aalto University, RWTH Aachen, TU Munich, Cambridge University, University of Essex, TU Kaiserslautern, i2cat, iminds, King s College London, Fraunhofer Fokus, IT Aveiro, IT Innovations, University of Bristol, ETH Zurich EUH2020 funded under grant Nos ( EUH2020 funded under grant Nos ( EUH2020 funded under grant Nos ( Unfunded effort in the 5G Private Public Partnership programme ( 13.5mio Euro Combined H2020 Funding Showcased as ETSI MEC PoC Selected as CONFIG use case 8

9 The Problem & Current Approaches Bandwidth costs # of user viewings determine BW costs HBO NETFLIX AMAZON YOUTUBE Unicast Legacy HTTP Unicast Proliferation controller NFV COTS CPE Gateway Emerging Network Two current approaches Two shortcomings CDNs are currently used for popular content but this is overly complex and results in inefficiencies associated with indirections Overprovisioning of resources drives unsustainable spiraling costs Both shortcomings are unsustainable for 5G # of User Connections 9

10 Our Solution: Re-Introducing Multicast Bandwidth costs Our Solution will Drive Down Bandwidth Costs HBO NETFLIX AMAZON YOUTUBE Implicit Multicast Benefit #1: True Multicast ICN Intelligence controller NFV COTS ICN Gateway Layer CPE Gateway ICN Gateway Layer App (e.g. HTTP) ICN L1/L2 # of User Connections POINT/RIFE: The Innovative ICN approach for competitive 5G (or before) operator networks Re-introduce multicast into world of predominantly personalized web experience -> higher network utilization Flexible routing at runtime through cloudifiable software elements -> increased resilience, latency reduction 10

11 Our Solution: Localize Communication Bandwidth costs Our Solution will Drive Down Bandwidth Costs HBO NETFLIX AMAZON YOUTUBE Implicit Multicast Benefit #2: Dynamic Web Servers Surrogate Mgmt. ICN Intelligence controller Dynamic Web Servers ICN Gateway Layer ICN Gateway Layer App (e.g. HTTP) ICN L1/L2 # of User Connections The next logical step: Dynamic Web Servers, spun up possibly just one hop away Creates new service possibilities for operators, utilizing in-network NFV-based computing capabilities Helps meeting challenging 5G KPIs, such as 5ms servicelevel latency & 1000x capacity increase CPE 11

12 An Edge Proposition -only Server FLS NAP Surrogate Mgr ICN F Monitoring ICN F (BGP) ICN F L2 L2 TM : topology manager RVZ: rendezvous point ICN SR S 1 FLS Border GW technology IDCC Edge blocks S 1 S 2 TM ICN RT RVZ NAP ICN F Controller ICN TP ICN PR -only Sender & Receiver UE FLS NAP -only Sender & Receiver UE 12

13 A Use Case for a 5G Control Plane -only Server -only Sender & Receiver UE 5G Control plane Glossary: AF FLS NAP CM: Connectivity Mgmt. FM: Flow Mgmt. AF: Access Function Device attachment CAE: Context-awareness Path establishment Engine SBI: Southbound Interface NBI: Northbound Interface AF FLS NAP ICN F ICN F Service endpoint Pub-sub registration based context acquisition Compute/storage Fact generation management & data mgmt. Monitoring CAE via OpenStack Exposure via NBI Surrogate Mgr NBI Integration ICN F ICN F (BGP) FMTM ICN TP S 1 ICN PR S 2 L2 ICN SR SBI Integration Controller S 1 ICN RT L2 FLS Border GW CM RVZ D-plane management Interact with transport network D-plane establishment ( rule configuration) & reconfiguration integration D-plane ( rule anchor changes) point selection through Name ONOS/ODL resolution Address configuration Legacy NAS integration NAP as developed by CONFIG project -only Sender & Receiver UE 13

14 UK NextGen Network Our Demo 14

15 Demo Setup Improvement: Multicast Improved Gain local = playout ratio of quality incoming (scale vs. to outgoing HD quality) bytes (1.0 (while for emulated solutions, users expected will continue >>10 in to demo receive due SD to quality POINT from solution) Bristol) Emulated users plus demo tablet Remote Video Feed 30 emulated users in data center From our POINT/RIFE European Network Local Video Feed To Our Booth in Barcelona 15

16 Schematic Setup RV NAP HLS Video Server -only Sender UE NAP TM Controller Control traffic L2 link 4 emulated users in server cluster MWC Booth 30 emulated users in server cluster Backhaul network 16

17 Demo Aspect 1: Multicast Gain Equals Number of Users Sending 1 HLS stream via multicast RV NAP HLS Video Server -only Sender UE NAP TM Sending 1 HLS stream via multicast Controller Video traffic Control traffic L2 link 4 emulated users in server cluster 30 emulated users in server cluster Aspect 1 demonstrates the multicast gain as well as the reduced server load through multicast delivery of HTTP responses in HLS video streaming scenario. 17

18 Comparison to -based Routing Sending 35 individual HLS streams NAP HLS Video Server -only Sender UE NAP Sending ~30 individual HLS streams Sending 6 individual HLS streams Controller Video traffic Control traffic L2 link 4 emulated users in server cluster 30 emulated users in server cluster 18

19 Demo Aspect 2: Surrogate Server for Latency Reduction with -over Times of <1s Sending 1 HLS stream via multicast RV NAP HLS Video Server -only Sender UE NAP TM Sending 1 HLS stream via multicast Controller Video traffic Control traffic L2 link 4 emulated users in server cluster 30 emulated users in server cluster Aspect 2 demonstrates the latency reduction and video quality improvement through surrogate server at MWC. 19