What Is Edge Computing? (Definition of Edge Computing)
Edge computing refers to processing, analyzing, and storing data closer to where it is generated to enable rapid, near real-time analysis and response. In recent times, some organizations have centralized their operations by storing and computing data in the cloud. However, the needs of new use cases enabled by billions of distributed devices have rendered this approach unsustainable, ranging from improved warehouse and inventory management solutions to vision-enhanced robotic production lines to advanced smart city traffic control systems.
Furthermore, the growing use of edge devices—from the Internet of Things (IoT) devices like smart cameras, mobile point-of-sale kiosks, medical sensors, and industrial PCs to gateways and computing infrastructure—for faster, near real-time actionable insights at the data source is driving exponential growth in the amount of data generated and collected.
It’s estimated that by 2025, 75 percent of data will be created outside of central data centers, where most processing takes place today.source: intel.com
By 2025, it’s expected that 75% of data will be created outside of central data centres, where most processing currently takes place. 1 To take it a step further, about 90% of all data acquired by businesses today will never be used. 2 Edge computing uses high-performance processing, low-latency connection, and secure platforms to reap the benefits of data received from devices.
Benefits of Edge Computing
Shifting some data functions such as storage, processing, and analysis away from the cloud and closer to where data is generated might provide several major advantages:
- Reduced latency and increased speed. Moving data processing and analysis to the edge improves system response time, allowing for faster transactions and better experiences, which are critical in near-real-time applications such as autonomous car operation.
- Network traffic control has been improved. The bandwidth and expenses of sending and storing huge amounts of data can be reduced by reducing the amount of data delivered over the network to the cloud.
- Increased reliability. The amount of data that may be transmitted by a network at one time is restricted. The ability to store and process data at the edge enhances reliability when the cloud connection is broken for locations with poor internet connections.
- Security has been enhanced. An edge computing system, when properly implemented, can improve data security by limiting data transfer over the internet.
Edge Computing Versus Cloud Computing
Edge Computing is said to be appropriate for processes with high latency. As a result, medium-sized businesses with limited budgets can save money by using edge computing.
Cloud Computing is more suitable for projects and organizations which deal with massive data storage.
In Edge Computing, Several different platforms may be used for programming, all having different runtimes.
In Cloud Computing, Actual programming is better suited in clouds as they are generally made for one target platform and uses one programing language.
Edge Computing requires a robust security plan including advanced authentication methods and proactively tackling attacks.
But Cloud Computing requires less of a robust security plan.
Some Frequently Asked Questions
Q) Edge Computing is an Extension of Which Technology?
Edge is an extension of the cloud and requires a common platform-based approach: Adding new technologies like edge to existing cloud platforms makes it much easier to manage and optimize applications.
Think of edge as an extension of the cloud rather than a replacement, says Seth Robinson, senior director of technology analysis at technology association CompTIA.
Q) What is a Recent Innovation in Edge Computing Enhanced by 5G?
Advanced driver assistance systems (ADAS) have taken on a new role in driverless vehicles thanks to edge computing and 5G. Mercedes, for example, uses edge servers and 5G wireless connection to minimize latency and improve bandwidth for sensors while also ensuring real-time authentication.
Q) How Can Edge Computing be Used to Improve Sustainability?
Edge computing helps to reduce network traffic and data center utilization. The amount of data traveling the network may be considerably reduced with Edge Computing, saving up bandwidth. In the context of its surroundings, data on the edge is likewise much more likely to be relevant and indeed utilized.
Q) Which Factors Have Made Edge Computing Cheaper and Easier?
High latency, data privacy, fast performance, and geographical flexibility are some of the factors covered by edge computing that make it cheaper and easier.
# Edge Computing Courses & Certification Online:
This is the most comprehensive, yet straight-forward, course for Edge Computing! If you want to learn Edge Computing concepts in a shorter span of time, then this course is for you. I have designed this course considering both beginners and experienced students.
In each lecture, we have used animated presentations to explain complex concepts. This helps you to grasp and digest the concepts quickly and easily.
Below are returns you get by investing your time and money in this course:
1. Concepts of Edge Computing from the scratch
2. Learn to identify use cases eligible for Edge Computing
3. Helps you in adopting Edge Computing
4. Learn technical terms related to Edge Computing
5. Get Monthly updates on Edge Computing
Edge computing is transforming the ways in which data is managed and processed from billions of devices around the world. The rise of IoT and 5G is further fueling this new way of computing. Edge computing is where data processing happens closer to where things, devices and people produce and consume that data. Analysts predict that Edge Computing is the next big wave in the technology world after Cloud Computing.
With its rapid uptake amongst various industries and domains, Edge Computing is making inroads into our daily lives too. With the exponential growth of IoT devices, Edge Computing is completely changing the way technology is being consumed.
This course will provide a very comprehensive guide on this new way of computing. Whether you are exploring to implement Edge Computing in your organization or want to up your knowledge on this new phenomenon, this is the right course for you.
Through this course, you will get to learn:
. Core fundamentals of Edge Computing
. Examples of Edge Computing in industries and daily lives
. Difference and comparison between Edge Computing and other computing methodologies including Cloud Computing
. Key reasons why Edge Computing is the next big thing
. Distinctions of Edge Cloud and Near/Far Edge components
. Understand how does Edge Computing actually work
. Key advantages and benefits of Edge Computing
. Various industry factors driving the growth of Edge computing including 5G and IoT
. Challenges in implementing Edge Computing
. Core tenets of Edge Analytics
. Security and Privacy in Edge Computing
. Key technologies used in Edge Computing
. Affiliated computing methodologies such as Fog Computing, MCC, MEC, etc
. Various systems and technology platforms available for Edge Computing
. Edge Servers & other devices
. Architecture for Edge Computing
. Use cases of Edge Computing in Logistics, Healthcare, Retail, Warehousing, Robotics, and other industries
. Guide on how to go about implementing Edge Computing in your organization
What you’ll learn
- Understand the core fundamentals of Edge Computing
- Understand the difference between Edge Computing and other Computing methodologies such as Cloud Computing
- Explore the benefits, challenges as well as key driving factors of Edge Computing
- Learn about the key technologies and platforms for Edge Computing
- Explore the Edge Architecture and key factors for implementation
- Use cases of Edge Computing in diverse industries
- Understand the way in which Edge Computing can be implemented in organizations
The advent of the internet of things, cloud computing, machine learning, and embedded technologies have disrupted the conventional computing models. Computing has taken many shapes from edge to cloud. This training program has been designed with the objective to provide a comprehensive understanding of relevant technologies and various emerging computing paradigms.
- Introduction to IoT
- Analytics in IoT
- IoT End Point – architecture, design and performance
- Communication in IoT – OSI model perspective
- IoT Gateway
- Edge Analytics and Python
- AWS IoT and Azure IoT