5G at the Edge Suresh Krishnan 2020 The facets of openness Open - - PowerPoint PPT Presentation

2020

5G at the Edge

Suresh Krishnan

The facets of openness

Open Software Open Interfaces Open Hardware

Uniformity Military-Grade Security Rollback and Upgrade Minimal Footprint

❏ Same software

• rchestration

model & management tools across networking, compute, and storage Linux leverages:

❏ SELinux ❏ cgroups ❏ Network namespaces

❏ Easily rollback to a previous version of the OS ❏ Deploy updates in a single step ❏ Lightweight OS that provides the flexible & modular capabilities of Linux containers

Open Software

Standard off-the-shelf Linux

A Programmable Data Plane

• Add new features and services in runtime without

impacting traffic

• Allow developers to develop new code and drive

innovation

• Avoid vendor lock-in & eliminate the need to wait

for silicon upgrades

• Allow for customer programmability
• Industry standard P4 programming language
• Hardware Independence

4

Open Hardware

• Run on open source hardware
• Use open networking white box switches supporting OCP

reference models

• Avoid vendor lock-in
• Use standardized tools for hardware management
• ONIE
• Redfish

5

Open Interfaces

• Open Interfaces for configuration
• Netconf, YANG
• Open Interfaces towards orchestration
• Openstack (ML2)
• Kubernetes (CNI)
• Open interfaces in 5G networks
• N4 for Control-User Plane Separation
• N3 towards RAN
• N6 towards Data Networks

6

Heterogeneous Hardware Strategy

• We strongly believe in a heterogeneous hardware

strategy and using the hardware best suited for the required characteristics

• P4 is supported on heterogenous hardware

including

• Intel XEON CPUs
• Programmable ASICs such as Barefoot Tofino
• FPGAs (Stratix 10) and FPGA based

SmartNICs from Intel

• A heterogeneous dataplane can execute on any of

these platforms including any combinations

7

5G Key points

The newest generation of mobile network technologies Much higher throughputs than 4G/LTE

Multi Gigabit per second speeds have been demonstrated

Much lower latency than 4G/LTE

Allows a lot of new applications – factory automation, AR/VR etc.

Uses multiple frequencies/bands to achieve high throughputs

Several of them are very high frequencies

The downside of the high frequencies is much smaller coverage area

Market drivers

Edge Computing “Around 10% of enterprise- generated data is created and processed outside a traditional centralized data center. By 2025, Gartner predicts this figure will reach 75%”

Data is not centralized anymore

Gartner: https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infrastructure-and-operations-leaders/ CNCF: https://www.cncf.io/blog/2018/08/29/cncf-survey-use-of-cloud-native-technologies-in-production-has-grown-over-200-percent/ Gartner: https://www.gartner.com/en/newsroom/press-releases/2019-08-22-gartner-forecasts-worldwide-5g-network-infrastructure

Edge internet economy – applications and services

for which our customers are building Edge networks

Applications & Services Connectivity $4,500 $4,000 $3,500 $3,000 $2,500 $2,000 $1,500 $1,000 $500 $- 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 Billions

Source: Chetan Sharma Consulting, 2019

Platform Hardware

What is driving the edge?

• Virtual Reality
• Augmented Reality
• Industrial Robot
• Industrial Control
• Connected Cars
• Interactive Gaming
• Remote Medicine

Public cloud only (AWS, Azure, Google etc.) not suited for low latency apps

• AWS: 21 ms (Northern Virginia)
• Azure: 24 ms (Northern Virginia)

Measured from Downtown New- York over 10 Gbps link

Requirements

• Improve Application

Availability

• Bandwidth &

Connectivity

• Security
• Less than 10ms latency
• Ability to scale
• Reduced TCO

Everybody wants to rule the edge

vFabrics

5G Slicing at the Edge

Video Streaming Mobile Network Operator Connected Cars Industrial Control 5G Core Edge RAN Radio Resource Control Physical Layer UPF-C 5GCore UPF-C 5GCore UPF-C 5GCore UPF-C 5GCore Mobile Broadband Remote Maintenance Content Delivery Robotics Control

Cloud Internet

What is special about the edge?

There are significant space constraints at edge locations

Latency Space

Several edge focused applications have low latency requirements

Power

There is limited amount of power available for edge computing applications

How to optimize the edge?

Provide

Provide workload orchestration

Save

Save costs

Reduce

Reduce overall complexity

Integrate

Integrate Access Termination

• Mobile and/or fixed accesses

Unify

Unify the Compute and the Networking (and potentially Storage)

• Eliminate duplicate functions
• Enable considerable scale down

Programmability matters

• Promotes feature velocity
• There is a huge time lag between widespread acceptance of a

protocol and its appearance in networking silicon

• Reduces/eliminates vendor lock-in
• No need to wait for a given vendor to provide a new chip or a

new appliance

• React quickly to protocol changes and fixes
• Over The Air updates just like compute
• Enables convergence

Optimized Edge

2020

Thank You!