Introduction Ying Cui Department of Electronic Engineering - - PowerPoint PPT Presentation

1896 1920 1987 2006

Mobile Edge Computing Introduction

Ying Cui Department of Electronic Engineering Shanghai Jiao Tong University, China 2017

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MOBILE COMPUTATION DEMANDS

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Navigation

• Monitor and control movement of a vehicle from one

place to another

• Four general categories

– land navigation – marine navigation – aeronautic navigation – space navigation

• Most popular navigation systems:

– Global Positioning System (GPS) – BeiDou Navigation Satellite System (BDS)

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Computations in Navigation

• Obtain location information

– obtain accurate locations of multiple users at the same time

• Plan route

– integrate a series of factors to better plan a path

• Process images

– process a series of images due to forward, backward and

• ther operations
• High requirements for computation capability and

computation power

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Augmented Reality (AR)

• A live direct or indirect view of a physical, real-world

environment whose elements are “augmented” by computer-generated sensory input such as sound, video, graphics or GPS data

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Augmented Reality (AR)

• Five critical components in an AR application:

– a video source

• obtain raw video frames from mobile camera

– a tracker

• track user position

– a mapper

• build environment model

– an object recognizer

• identify known objects

– a renderer (描绘器)

• prepare processed frame for display

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Virtual Reality (VR)

• Use VR headsets to generate realistic images, sounds

and other sensations that simulate a user's physical presence in a virtual or imaginary environment

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Computations in VR

• Do rendering-computation with a series of rendered

images in real-time to induce illusion of user’s movement

– real-time 3D computer graphics technology – wide-angle (wide field) stereo display technology

• Convey depth perception to viewer by means of

stereopsis (实体映像) for binocular (双眼的) vision

– observer head, eye and hand tracking technology

• Measure position, direction and motion of user’s head,

eye and hand

– tactile / haptic feedback technology

• Recreate sense of touch by applying forces, vibrations, or

motions to user

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Ultra-high-definition (UHD) Video Streaming

• A video format conceptualized by the Japanese

public broadcasting network, NHK, and used for any display with a 16 x 9 ratio with at least 1 digital input cable carrying a minimum resolution of 3,840 x 2,160 square pixels

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Computations in UHD

• Data compression

– encode information to reduce bits by identifying and eliminating statistical redundancy or less important information

• Video decoding

– convert base-band analog video signals to digital components video

• HD image processing

– isolate individual color planes of an image and treating them as two-dimensional signal and applying standard signal-processing techniques

• High requirements for computation capability and

computation power consumption

– uncompressed 20-minute UHDTV program has up 4 TB

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• 7.1 billion connected devices today and over 50

billion expected in 2020

• Hallmark (特点) of IoT applications

– large volumes of data, devices, and messages

• Most IoT applications have low-latency requirements

Internet of Things (IoT)

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• Oil and gas remote monitoring

– access field data to anticipate and prevent disasters in real time

• Automated vehicles

– ensure information processing and fast delivery to other vehicles to avoid car accident-related losses

• Home automation

– integrate or control home electronic products or system

• e.g., lighting, coffee ovens, computer equipment, security systems, heating and

air-conditioning systems, video and audio systems

IoT Application Examples

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• Internet connectivity for mobile phones, tablets,

sensors, security cameras and vehicles has produced a lot of data that can be mined and analyzed

• Clean, process and interpret vast amount of data for

data analytics

• Process massive computation-intensive and latency-

sensitive data in real-time

Computations in IoT

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A TRADITIONAL TECHNOLOGY

• - MOBILE CLOUD COMPUTING (MCC)

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Mobile Cloud Computing (MCC)

• MCC is combination of cloud computing, mobile

computing and wireless networks to bring rich computational resources to mobile users, network

• perators, as well as cloud computing providers
• Ultimate goal is to enable execution of rich mobile

applications with rich user experience

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MCC Servers

• Data centers deployed at the core network

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Limitations of MCC

• Long propagation distance will result in excessively

long latency for mobile applications

• Data exchange over long distance will saturate and

bring down the backhaul networks

• A large population of ultra-dense edge devices will

be idle at every time instant and waste enormous computation and storage resources

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A NEW TECHNOLOGY

• - MOBILE-EDGE COMPUTING (MEC)

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Mobile Edge Computing (MEC)

• MEC is a network architecture concept that enables

cloud computing capabilities and an IT service environment at edge of cellular network

• Basic idea behind MEC is that by running applications

and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better

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MEC Servers

• Small-scale data centers deployed at network edges

– e.g., base stations and access points

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Architecture of MEC Systems

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MCC vs. MEC

• Similarities

– integrate concept of cloud computing into mobile networks – enhance resource-poor mobile hardware – reduce development cost of mobile applications

• Differences

– MCC runs computing services of mobile devices at remote cloud data center – MEC provides IT and cloud-computing capabilities at edge

• f mobile network

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• Offer applications and content providers cloud-

computing capabilities and an IT service environment at edge of mobile network

• Proximity (close to end users)
• Ultra-low latency
• High bandwidth
• Real-time access to radio network and context

information

• Location awareness

Advantages of MEC

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Why Mobile Edge Computing?

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Can be leveraged by applications to create value

• Efficient utilization of

radio and network resources

• Innovative

applications and services

MEC Use Case 1: Augmented Reality

• Overlay AR content onto objects viewed on camera
• Provide local object tracking and AR content caching
• Local content delivered locally
• Improved QoE and overall efficiency

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MEC Use Case 2: Video Analytics

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• Analyze live video streams at base station
• Trigger events (e.g. movement, abandoned bags,

missing objects, crowd) automatically

• Accelerate detection and protect network from

heavy traffic

• Relevant in public safety, smart cities

MEC Use Case 3: Location Tracking

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• Get mobile device location in real time and in a

passive way (no GPS)

• Understand how crowd is distributed or locate

specific users

• Relevant in smart city, retail and advertising

MEC Use Case 4: Intelligent Video Acceleration

• Get mobile device location in real time and in a

passive way (no GPS)

• Understand how crowd is distributed or locate

specific users

• Relevant in smart city, retail and advertising

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