13
Dogs Never Get Tired: Power and Edge Computing Usenix Annual Technical Conference (ATC) 2021 Session Chairs: Marcelo Martins, Apple Dilma da Silva, Texas A&M University Preview by Ketan Bhardwaj, Georgia Tech

Dogs Never Get Tired: Power and Edge Computing

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Dogs Never Get Tired: Power and Edge Computing

Dogs Never Get Tired: Power and Edge Computing

Usenix Annual Technical Conference (ATC) 2021Session Chairs: Marcelo Martins, Apple

Dilma da Silva, Texas A&M UniversityPreview by Ketan Bhardwaj, Georgia Tech

Page 2: Dogs Never Get Tired: Power and Edge Computing

Once there were a few big dogs …

Page 3: Dogs Never Get Tired: Power and Edge Computing

Had to haul more, Were a bit slow …

IoT

Page 4: Dogs Never Get Tired: Power and Edge Computing

The big ones already knew it …

Akamai CDN Netflix Open Connect Google Global Cache

Pushed content cloud closer to users• Reduce backhaul demand• Several 10s to few 100s ms• O(few 1000s) global locations

Page 5: Dogs Never Get Tired: Power and Edge Computing

How fast do they really needed to be …

26Telefónica Alpha / Edge Computing /

Challenge #2: How many Edges?

1-20 20-80milliseconds milliseconds

1

Visual-tactile

feedback

m

s Human Features

m

s

Network &

Spatial

m

s

Use Case

Requirements

1

1

Tactile

Internet

5G (target)

1

Car at 140 km/h,

3.9 cm

Wearable

Assistance

4

Tell that a

sound is a human

voice

7

Vestibulo-ocular

reflex

Visual reaction

time

1

Speed of light

per 200 km

5

Augmented

Reality (gaming)

7

Autonomous

Driving

5

Two people in a room,

latency added by speed

of sound

8

Car at 90 km/h,

20 cm

TV max inter

picture

Virtual Reality

2

0

WiFi (average)

2

0

An airbag to

release

3

0

RTT UK N-S (IP)

(564 miles)

3

0

Perception of a screen

change after clicking a

button

5

0

4G/LTE

(average)7

0

RTT USA W-E (IP)

(2514 miles)

8

0

Screen to brain

propagation

10

0

Auditory reaction

time

13

0

3G (average)

15

0

Human blink

15

0

Crisp UI with a

computer

8

0

Augmented

Reality

(non gaming)

10

0

Tele

Robotics

Telefónica Alpha / Edge Computing / July 2017

1

0

1

0

1

0

1

0

80-150milliseconds

>150milliseconds

THE ADVENT OF EDGE COMPUTING

Many edges, per use case and workload

Source: Pablo Rodriguez, Telefonica Alpha, SEC’17

Page 6: Dogs Never Get Tired: Power and Edge Computing

So, there were more but smaller ones … 1/31/20, 8)32 AMVerizon partners with AWS to bring more power to its 5G edge | FierceWireless

Page 1 of 3https://www.fiercewireless.com/5g/verizon-partners-aws-to-bring-more-power-to-its-5g-edge

Next Gen Wireless Summit Video Wireline Resources Webinars Events Subscribe

WIRELESS TECH 5G IOT

Verizon is bringing cloud computing closer to its 5G network edge by teaming with Amazon WebServices (AWS). Verizon will use AWS Wavelength, Amazon’s new cloud platform designed foredge computing, to make it easier for developers to create and deploy low latency applications.

Speaking at the Wells Fargo TMT investor conference, Adam Koeppe, senior vice president oftechnology and planning at Verizon, explained that Verizon is integrating AWS Wavelength atstrategic locations within its 5G network that uses the its 28 MHz mmWave spectrum. Wavelengthwill basically open up Verizon’s network to AWS developers that want to create low-latencyapplications that will run on a 5G distributed network. Examples of these types of low-latencyapplications include smart cars and cities, augmented and virtual reality, Internet of Things andgaming.

Koeppe said that customers are already testing Wavelength technology in Chicago where Verizonhas deployed its 5G network. The two companies said they plan to make the 5G edge computing

5G

Verizon partners with AWS to bring more power to its 5Gedgeby Sue Marek | Dec 3, 2019 4:33pm

Verizon CEO Hans Vestberg made an appearance at AWS re:Invent conference in Las Vegas to talk about how Verizon plans to incorporateAWS cloud compute and storage at the network edge. (AWS)

GET THE NEWSLETTERSubscribe to FierceWireless to get

wireless industry news and updatesdelivered to your inbox.

Email

SIGN UP

I acknowledge that I may receive emailsfrom FierceWireless and on behalf of theirtrusted partners.

" #$

1/31/20, 8)35 AMAT&T and Microsoft announce early result of their 5G-cloud partnership - CNN

Page 1 of 4https://www.cnn.com/2019/11/26/tech/att-microsoft-azure-5g-cloud/index.html

AT&T and Microsoft announce earlyresult of their 5G-cloud partnership

Updated 5:47 PM ET, Tue November 26, 2019

By Clare Duffy, CNN Business

New York (CNN Business) — AT&T and Microsoft have announced the next phase of a partnership that's aimed atadvancing development in two of the buzziest areas of tech: 5G and cloud computing.

The companies inked an agreement in July to work together on innovations in 5G and cloud. 5G is next generationnetwork technology that's expected to change the way people live and work. And the cloud is distributed datastorage and computing power that doesn't rely on traditional on-site data centers. AT&T (T) (CNN's parentcompany) also agreed to migrate its data and workflows to the Microsoft Azure cloud, in what was reportedly amore than $2 billion deal for Microsoft (MSFT), according to Reuters.

On Tuesday, Microsoft and AT&T's business unit announced the pilot launch of their so-called "network edgecompute" technology, an early outcome of the partnership. The advancement is expected to help both companies'enterprise customers take advantage of the benefits of 5G, as AT&T works to roll out 5G across the US by mid-2020.

"We've said all year, developers and businesses will be the early 5G adopters, and this puts both at the forefront ofthis revolution," AT&T Business Chief Marketing OWcer Mo Katibeh said in a statement Tuesday.

AT&T will implement the Microsoft technology in some of the major metro areas where it's installed 5G — AT&Tsays it will be available for select customers in Dallas early 2020, with Los Angeles and Atlanta slated forimplementation later in the year.

Microsoft and AT&T are excited about the technology's potential, but Gartner analyst Bill Menezes says it's not yetclear just how useful this technology will be and when it will be usable.

"Right now, it's creating a lot of noise that plays on a lot of current buzzwords in tech," Menezes said. "What itactually produces remains to be seen."

What is network edge compute?"Network edge compute" is a mouthful. Here's what it means:

5G promises to bring super fast download speeds, the ability to connect millions of devices and the ability toprocess massive amounts of data in nearly real time. But if those devices are connected to the cloud, reaping the

LIVE TV

1/31/20, 8)39 AMDeutsche Telekom Embarks on Edge Computing for IoT - SDxCentral

Page 1 of 3https://www.sdxcentral.com/articles/news/deutsche-telekom-embarks-on-edge-computing-for-iot/2019/12/

News

Deutsche Telekom Embarkson Edge Computing for IoT

Matt Kapko | Editor

December 3, 2019 12:22 PM

Share this article:

T-Systems, a subsidiary of global operator Deutsche Telekom, unveiled an edge

computing platform that delivers low latency for IoT applications in enterprise

facilities. The EdgAir platform is designed to operate like a private cloud to ensure

security and transmit data in less than 10 milliseconds, according to the IT services

and consulting company.

The platform is based on OpenStack and allows enterprises to run IoT applications as

virtual machines (VM) or in Docker containers as microservices that operate

independent of the underlying infrastructure. The containers are also coordinated via

Kubernetes and EdgAir equipment can be installed as a pole mount, ruggedized rack,

or a standard rack.

“In combination with Time Sensitive Networks and a very good service level

agreement, our managed platform EdgAir can meet requirements such as real-time

control of machines in a production hall,” said Albert Kroisleitner, senior product

manager of edge platform at T-Systems, in a prepared statement.

Learn More

Related Resources

Assuring Intelligence for the Multi-Vendor SD-WAN Edge: Webinar

Webinar: Assuring Intelligence for the Multi-Vendor SD-WAN Edge

Assuring Intelligence for the Multi-Vendor SD-WAN EdgeSponsored by Infovista

Subscribe to our Newsletter

Email Address

SUBSCRIBE NOW

Learn More

Sponsored Hubs Cisco Dell Technologies Versa Networks Get SDxCentral'sDaily Newsletter

SD-WAN SDN NFV CONTAINERS 5G SECURITY EDGE MULTI-CLOUD OPEN SOURCE IOT AI MORE +LOGIN

Page 7: Dogs Never Get Tired: Power and Edge Computing

Where are these small ones …

Where are the edges?Distributed cloud, edge compute, AI/ML, IoT, 5G, VNFs/NFV, FMC

Source: IHS Markit. NFV Strategies: Global Service Provider Survey, June 2017; Respondents control 61% of global telecom capex

uCPE

Data Center Near CO

[Regional DC]

uCPE

Smart COwith Mini

DC/CDN+[Edge DC]

Data CenterNot Near CO[Central DC]

EDGE 97% of operators plan VNF

execution in Smart CO

PARTIAL EDGE

85% of operators plan VNF execution

in DC Near CO

NOT EDGE

70% of operators plan VNF execution in

DC Not Near CO

EDGE 82% of operators plan VNF execution on uCPE

at customer

sites

EDGE MEC server,

AI/ML, IoT, 5GEDGE

VNFs, vEPC, MEC, distributed

RAN, vRAN, BBU hotel, FMC, vCPE, AI/ML, IoT

go here

IoT G/W

6

EDGE

Enterprise & IoT

20msecs

IoT G/W

Page 8: Dogs Never Get Tired: Power and Edge Computing

How do the small ones help …

What help do small ones need …

• Reduce latency to few ms• Save backhaul bandwidth

• Handle multiple applications• Power/energy constraints

This session

Page 9: Dogs Never Get Tired: Power and Edge Computing

Prediction-Based Power Oversubscription in Cloud Platforms• Power is important • Power oversubscription is

limited • Prior work assumes hard

to get info • Reactive, expensive

mechanisms

• Prediction-based approach• Predict VM criticality &

utilization• Protect critical VMs by

intelligent placement • 2x oversubscription

Page 10: Dogs Never Get Tired: Power and Edge Computing

Proactive Energy-Aware Adaptive Video Streaming on Mobile Devices

• ABR widely used video 360 streaming – App adaptation• Prior work, mostly reactive causes

adaptation oscillations• Difficult to predict energy usage• Energy use is cummulative

• Integrated, Pro-active ABR adaptations for video• Reactive vs. Proactive• Function wise power prediction • Practical control algorithm

Page 11: Dogs Never Get Tired: Power and Edge Computing

Video Analytics with Zero-streaming Cameras

• A lot of cameras (surveillance)• Huge amounts cold video

(nothing interesting)• Especially for ad-hoc queries:

retrieve, tag, count• Why stream … even to edge• Cloud processing only needed if

more accuracy is needed

• Zero-streaming• Leverage spatial skew in

landmarks• Cloud provides increasingly

complex / more accurate operators based on policy• Multi-pass, multi-operators• 100x more video in realtime

Page 12: Dogs Never Get Tired: Power and Edge Computing

ASAP: Fast Mobile Application Switch via Adaptive Prepaging

• Everyone uses more than one app • Switching b/w them can be faster

(useful)• Cause – slow demand paging• Requires careful low level design

to avoid overheads

• Predict likely to be accessed pages / pre-page• Ensure reasonable overheads• 20-30% faster switch • Additional 30% CPU & 25% disk

bandwidth usage

Page 13: Dogs Never Get Tired: Power and Edge Computing

Enjoy the session J