Edge Computing

From New Media Business Blog

(Difference between revisions)
Jump to: navigation, search
(What is driving Edge Computing)
(What is driving Edge Computing)
Line 2: Line 2:
===What is Edge Computing===
===What is Edge Computing===
===What is driving Edge Computing===
===What is driving Edge Computing===
-
 
-
Organizations in this global economy are moving quickly to digitizing all of their processes and investing in the edge, early, can give organizations the capability to significantly improve customer engagement. Technically, the expansion of compute storage and networking has given innovators the tools they need to develop systems that used to be theoretical [1]. 5G is a great compliment to the growth edge computing is going to see in the next few years. It will be important to pair these two technologies together and the push for 5G is another major contributor to driving growth for edge computing because there is an increasing demand for real-time processing in all industries.
 
-
 
-
The rate at which devices are collecting data is growing exponentially, and there won’t be enough bandwidth to transfer that data to the cloud for processing [1]. With IoT devices being introduced into the market at a rapid rate, there is so much data being produced today. According to Cisco Systems, network traffic is going to reach 4.8 zettabytes by the year 2022 [3]. There is a need for high-performance and low-latency platforms that can consume data and instantaneously generate insights. The cost of managing this data continues to increase because all of the data traveling to the cloud and then back, may not be relevant [2].
 
-
 
-
For specific industries where network latency is critical, such as autonomous vehicles, it can be life-threatening to rely on the old centralized cloud model. Decisions will be made too slow and it can cause serious problems in other use cases such as factory automation and field inventory control. Consumers and businesses do not want to rely on a system where, “network latency is too high, and reliability is too low to be practical” [1]. With the evolution of computing capabilities, users expect to have improved and immersive experiences, available all the time. In 2018, leading semiconductor manufacturers continue to develop new integrated circuits that keep pace with Moore’s Law [5]. For context, the computing power in an iPhone X is far superior to the computer that was used in the Apollo 11 mission [4]. If technology companies continue to push the boundaries of what’s possible, consumers will continue to demand greater capabilities from the technology they use.
 
==Market Landscape==
==Market Landscape==

Revision as of 02:57, 2 August 2020

Contents

Introduction

What is Edge Computing

What is driving Edge Computing

Market Landscape

Current Market Size

Major Industry Players

Restraints on Edge Growth

Potential Market Size and Growth

Benefits

Low Latency, High Bandwidth and Increased Speed

Security

Reduced Infrastructure

Reliability

Challenges

Security and Authentication

More Hardware

Cost

Different Device Requirements

Current Trends and Use Cases

Automotive Industry

Retail Industry

Agriculture Industry

Healthcare Industry

Transportation Industry

Oil and Gas Industry

Government

Future Trends

Smart Cities

Smart Grids

Drone Automation

Traffic Management

Automated Delivery

Computer Vision Technology

Present State

Benefits of Edge-enabled Computer Vision Technology

Future Use Case 1: Media and Entertainment Industry

Future Use Case 2: Marketing and Retail Industry

Concerns of Computer Vision Technology

Edge Infrastructure Adoption Cycle

Potential Jobs

Conclusion

Authors

Daichi Keber Gunit Sethi Yu-Ning Huang Jessica Zhou
Beedie School of Business
Simon Fraser University
Burnaby, BC, Canada
Beedie School of Business
Simon Fraser University
Burnaby, BC, Canada
Beedie School of Business
Simon Fraser University
Burnaby, BC, Canada
Beedie School of Business
Simon Fraser University
Burnaby, BC, Canada
Personal tools