Edge Computing: Deployment, Advantages, and Disadvantages

4 min readJun 2, 2022

The scope of corporate technology has expanded dramatically in recent years. The quest to ‘accomplish more in less time’ has been the motto of numerous organizations throughout the world. In recent years, increasing processing capabilities at the edge has been a popular trend, laying the framework for autonomous systems. As a consequence, organizations’ efficiency and output may grow, while personnel may be able to focus on higher-value jobs.

What Do You Understand About Edge Computing?

Edge computing is a distributed/network computing strategy in which processing takes place near the point where data is collected and processed rather than on a centralized server or in the cloud. With this new architecture, you have access to sensors that collect data and edge servers that securely analyze data in real-time and on-site. You may also connect additional devices to the network, such as mobile phones, computers, and so on.

Data processing at the edge aids in the quick application of analytics and the deployment of AI capabilities, which is interesting to know. Furthermore, edge computing allows for the seamless transmission of data with no latency and lower network bandwidth and storage needs.

The usefulness of edge computing has been realized at the global level. The below-mentioned statistics say it all.

  • According to Gartner’s report, by 2022, 50% of enterprise-generated data would be generated and processed outside of centralized cloud data centers via edge computing.
  • Based on IDC’s Worldwide Edge Expenditure Guide, enterprise & service provider spending on software, hardware, and services around edge solutions will expand at a rapid pace through 2025, reaching around $274 billion.

Edge Computing & Relationship with Cloud

Many people question if edge computing is a subset of cloud computing or vice versa. The fact is that edge computing works in tandem with the cloud to provide a customizable solution built on the basis of data collecting and analysis specific to each enterprise.

The edge proves to be appropriate in terms of specific workloads for handling real-time data collecting and processing. Simultaneously, the cloud aids in the provision of a centralized site for large-scale analytics. They work together to provide real-time insights on performance and enable projects like machine learning.

Why is Edge Computing Gaining Popularity?

  • Supports the automation of all business processes
  • Motivates operational capabilities
  • Presents a less costly strategy to achieve scalability
  • Better performance & security across all devices
  • Lowers bandwidth to offer low transmission cost

Use Cases of Edge Computing

The implementation of edge computing can be seen in our day-to-day lives. Here are a couple of use cases that can prove helpful in understanding the value of this computing paradigm.

A. Edge Computing in Smart Homes

Smart homes have become the talk of the town, with several cities in the United States already benefiting from intelligent automation to make their lives as comfortable as possible. IoT devices are the primary elements of the smart home and are responsible for data collection and analysis.

The collected information is typically transmitted to a specialized remote server for storage and processing. However, the existing configuration may have several flaws, such as security, latency, and so on. Edge computing decreases roundtrip time and simplifies processing and storage by allowing sensitive information to be analyzed at the edge. Your voice-based assistance devices, such as Google Home, will reply to your orders more quickly thanks to the presence of edge computing.

B. Edge Computing in Fitness Tracker

Consider the case of a fitness tracker. Its main purpose is to keep track of the user’s heartbeat. When the notion of edge computing is used, it may be converted into a far more complex information-delivery device, such as providing data when the user’s heartbeat stops. It’s a life-saving breakthrough since the gadget can then instantly contact an EMT service, which may provide rapid medical aid. Because edge computing produces low latency, the delay caused is minimal, allowing the EMT service to respond quickly.

Advantages of Edge Computing

  • Improved security by dispersing processing and storage across a wide array of devices
  • Edge computing offers improved speed and lower latency to permit faster data processing
  • Delivers a cost-effective path to scalability and adaptability, thereby permitting businesses to enhance their computing abilities

Disadvantages of Edge Computing

  • For a business to stay on track, data is the king in every manner. When the data/information is gathered at the edge server, it becomes imperative to thoroughly check for compliances & regulations.
  • The networked architecture of edge computing increases known attacks. Such a system is susceptible to security flaws and malware infiltration.
  • As more data is secured at the edge, more computers are required. As a result, the bandwidth must be increased. The implementation of edge computing necessitates the balancing of network bandwidth.

How is QA Crucial in Edge Computing?

The tiered architecture of edge computing involves a lot of components that are interdependent. This includes:

  • Edge software
  • Edge hardware
  • Edge gateway
  • Interconnection
  • Cloud
  • Data syncing

The value of Quality Assurance (QA) may be evident during the authentication of the functionality for each of the above-mentioned components, as well as further testing to ensure that they are operating in harmony as part of an integrated structure.

Some of the testing activities which are performed on edge components are:

  • Unit testing
  • API testing
  • Performance testing
  • Database testing
  • Integration testing
  • Security testing




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