Mobile Edge Computing 기술동향B1%E8%BC...direct connect to the devices. • Lower latency: React faster as edge services run close to end devices. • Location awareness: Local

KRnet 2016 The 24th Korea Internet Conference


Mobile Edge Computing 기술 동향 Sung-Yeon Kim, Ph.D. [email protected]

© 2016 InterDigital, Inc. All rights reserved.

1


Outline

• Mobile Edge Computing Overview

• Mobile Edge Computing Architecture

• Mobile Edge Computing Application

• Mobile Edge Computing Challenges

• Conclusion


2



Mobile Edge Computing Overview


3


Mobile Edge Computing Overview Mobile Cloud Computing


4


Mobile Edge Computing Overview Mobile Cloud Computing

Mobile Cloud Computing • The computational processing resources are located

in a remote location, e.g., Data Center, and accessed via the Internet.

Benefit • Less capital required by accessing to massive

computing and storage resources.

Limitation • Data transfer bottlenecks subject to access network

issues and delay. • e.g., it is tough to satisfy the 5G latency requirement.

End Device

Small Cell

eNodeB

Small Cell

End Device

Mobile Access Network

End Device

Internet

Cloud(Data Center)S-GW P-GW

MME HSS

Mobile Core Network


5


Mobile Edge Computing Overview Mobile Edge Computing

Mobile Edge Computing • Moving cloud infrastructure closer to end

users.

Benefits • On-Premises: The edge is local meaning that it

can run isolated from the rest of the network. • Network efficiency: Reduce the backhaul

usage. • Proximity: Edge computing may also have

direct connect to the devices. • Lower latency: React faster as edge services

run close to end devices. • Location awareness: Local service can leverage

low-level signaling information.

End Device

Small Cell

eNodeB

Small Cell

MEC server

End Device

Mobile Access Network

End Device

Internet

Cloud(Data Center)

MEC server

MEC server

S-GW P-GW

MME HSS

Mobile Core Network

Computing

Controller

Storage

MEC server


6


Mobile Edge Computing Overview Feasibility of Mobile Edge Computing

• Cost of storage • As the cost of storage drops, the cost of integration of additional storage also drops.

• Very little storage • Modern APs/Femtos possess very little storage, e.g., 32 – 256 MB Flash is typical.


7



Mobile Edge Computing Architecture


8


Mobile Edge Computing Architecture Mobile Edge Computing

Mobile Edge Computing Core Areas

MEC product • Cisco IOx • Liquid Apps

MEC standard • ETSI MEC

Cloud Infrastructure Product • OpenStack • OpenNebula • CloudStack • Eucalyptus

Network Function Virtualization • OpenNFV • OpenMano

Mobile Edge Computing Arch./Prototypes • InterDigital (IDCC) • MobileFog • Named Function Networking

Mobile Cloud Computing Prototypes • Cloudlets • Maui • CloneCloud

Mobile Edge Computing Potential Enablers


9


Mobile Edge Computing Architecture Mobile Edge Computing

2005 2010 2015 2020

Amazon’s EC2 (AWS, 2006)

Open Source Cloud Platform Eucalyptus (2008)

OpenNebula (2010)

Major Commercial Services Follow

Amazon:2007 Dropbox

2007 Force.com2009 Google Apps

2010 Microsoft Azure

Migrations to Cloud:Reddit (2009), Netflix (2010)

Launch of Cloud Based Services: Foursquare (2009), Pinterest (2010), Instagram (2010), etc.

Network Function Virtualization:Enabling Deploying IT Infrastructure in Operators Networks

Fog & Mobile Edge Computing:Bringing Cloud Technology to the Network Edge

First version of OpenFlow 1.1 (2011)

Cisco’s Fog Computing Vision (2013)

ETSI Mobile Edge Computing Initiative (starting in 2014, first standard expected in 2016)

Cloud Computing Deployment Cloud Computing Mainstream Usage


10


Mobile Edge Computing Architecture ETSI Mobile Edge Computing

• ETSI is working on the integration of telecom standards with cloud and Internet technologies.

• MEC initiative intends to unite Telco and IT-cloud, providing IT and cloud computing capabilities for RAN.


11


Mobile Edge Computing Architecture ETSI Mobile Edge Computing

• The MEC server is deployed at the LTE macro base station (eNodeB) site.

• The MEC server is deployed at the 3G radio network controller (RNC) site.

• The MEC server is deployed at a multi-technology (3G/LTE) cell aggregation site which can be located indoor within an enterprise or indoor/outdoor for a special public coverage scenario, e.g., stadium, shopping mall, to control a number of local multi-technology access points.


12


Mobile Edge Computing Architecture Deployment Scenario • Corporate/Public Venue

Internet

MME HSS

Mobile operator core network

Collocated MEC servers with AP/eNB

MEC

MEC

MEC

Corporate/venue gateway

and firewall

Corporate/venue flat network

MEC

Central MEC server (i.e collocated with the network gateway)

Corporate cloud services

S-GW P-GW


13


Mobile Edge Computing Architecture Deployment Scenario • Home/Public deployment

Internet

MME HSS

Mobile operator core network

MEC

MEC

Colocated MEC servers with HeNBs

or APs

Modem

Modem

Modem

Collocated modems with HeNBs or APs

Cable / DSL operator distribution network with varying hierarchy depth

Cable / DSL Operator gateway

MEC

Macro eNB

accessing directly the mobile core network

MEC

MEC

MEC

Consumer cloud service

S - GW P - GW

MEC cloud

MEC functionality distributed over local

appliance cloud


14


Mobile Edge Computing Architecture Deployment Scenario • Industrial Factory deployment

Manufacturing plant

with warehouse

Process / plant control

AP / eNB

MEC

Warehouse management

AP / eNB

MEC

Internet

MME HSS

Mobile operator core

network

Factory

gateway and

firewall

MEC

Central MEC server

collocated with the

network gateway

Collocated APs / eNBs and

MEC servers with process

control equipment

IoT and

mobile

Corporate cloud

services

Factory flat

network

S - GW P - GW


15



Mobile Edge Computing Application


16


Mobile Edge Computing Application Active Device Location Tracking

Network measurement based tracking of active • GPS independent and network determined terminal equipment. • Third-party geo-location algorithms within a geo-location application hosted on the MEC

server. • Efficient and scalable solution with local measurement processing and event based triggers. • It enables location based services for enterprises and consumers, for example in venues,

retail locations and traditional coverage areas where GPS coverage is not available. • Services may include mobile advertising, ‘Smart City’, footfall analysis, campus

management, etc.


17


Mobile Edge Computing Application Augmented Reality Content Delivery

Augmented Reality Application • An Augmented Reality (AR) application on a smart-phone or tablet overlays augmented

reality content onto objects viewed on the device camera. • Applications on the MEC server can provide local object tracking and local AR content

caching. • The solution minimizes round trip time and maximizes throughput for optimum quality of

experience. • It can be used to offer consumer or enterprise propositions, such as tourist information,

sporting event information, advertisements etc.


18


Mobile Edge Computing Application Video Analytics

Video Analytics • The video management application transcodes and stores captured video streams from

cameras received on the LTE uplink. • The video analytics application processes the video data to detect and notify specific

configurable events e.g. object movement, lost child, abandoned luggage, etc. • The application sends low bandwidth video metadata to the central operations and

management server for database searches.


19


Mobile Edge Computing Application Distributed Content and DNS Caching

Distributed Content and DNS Caching

• Popular content/data stored at the Base Station

• Backhaul and Transport savings (up to 35%)

• Improved QoE (20% improvement for loading a Web page)


20



Mobile Edge Computing Challenges


21


Mobile Edge Computing Challenges • Network integration

• MEC server to be transparent to 3GPP network architecture/interfaces

• Application portability • Applications to be seamlessly loaded and executed in the MEC platform. Transfer

of applications between multi-vendor MEC servers

• Security • Fulfil 3GPP security requirements, provide secure sandbox and isolation for

applications. Protection from malicious applications/software and from physical attacks on the MEC server

• Performance • MEC server shall not impair network performance or end user experience

• Resilience • Introduction of MEC server shall not impact network availability. Applications

need to be robust and resilient

• Operations • New management layers for hosting infrastructure, MEC application platform,

and hosted software applications and services

• Regulatory/legal considerations • User data protection/privacy, net neutrality, LI, charging


22


Conclusion

•MEC is one of key technologies enabling low latency service.

•ETSI leads the MEC standard.

•Many telco. and IT cloud industries are working on realizing MEC.

•There are many challenges to realize MEC.


23


Thank You!


Documents

Mobile Edge Computing 기술동향B1%E8%BC...direct connect to the devices. • Lower latency: React faster as edge services run close to end devices. • Location awareness: Local