Which situation would benefit most from the use of edge computing? - IoT worlds (2023)

There are several situations where edge computing can be beneficial. Some of the benefits of this technology include, but are not limited to: reduced power consumption, reduced network latency, reduced data redundancy, and improved compliance with local regulations. Also, edge computing is a great way to provide services to people who don't have a computer or internet connection.

It reduces energy consumption

Edge Computing transfers computing power from the cloud to the end user. This is particularly beneficial for video streaming services. According to Google, mobile networks consumed much of the power consumed by YouTube in 2016. By hosting content closer to the end user, it reduces the need for mobile networks to carry traffic across the Internet. This frees up bandwidth for other applications.

While large data centers can aggregate the computing and storage needs of thousands of users, they may not be optimally configured to optimize power consumption. Additionally, cloud data centers are often up and running 24 hours a day, even when not in use. On the other hand, high-end data centers may have to deal with fluctuations in utilization and have idle resources when not in use. Therefore, proper orchestration and design must be built into the design of distributed data centers.

Edge computing is becoming increasingly important for businesses looking to reduce energy consumption and waste. It allows companies to work more efficiently while maintaining a sustainable approach to operations. Edge computing solutions are also useful for organizations looking to implement AI-powered sustainability applications. With this technology, companies can improve their operations by using intelligent data and machine learning models to reduce energy consumption.

Another advantage of edge computing is that existing hardware can be reused and the need to invest in new hardware is reduced. This not only saves money, but also reduces CO2 emissions. By leveraging existing hardware, organizations can avoid purchasing costly new infrastructure and reduce the need for new IT equipment. It can also increase the durability of industrial systems and help them work offline.

(Video) What is edge computing?

In addition to reducing bandwidth and latency, edge computing can reduce overall power consumption and increase efficiency. Research shows that organizations focused on sustainability can also see increases in customer retention and sales. Because the greater use of green technologies helps companies to reduce their ecological footprint.

Using edge computing can also help reduce waste. For example, when users need to access video-on-demand services, they need less data to browse the Internet. This reduces power consumption as less data has to travel longer distances. Additionally, costs associated with data leakage can be reduced by keeping data close to end users while maintaining personal data security.

Reduce data redundancy

Edge computing is a technology that can help organizations reduce data redundancy by deploying data servers closer to user locations. For example, a bus might be equipped with a computer that helps the driver find the most efficient routes. A van can be equipped with the same technology. Edge computing can help businesses run websites smoothly and reliably by using data servers that are close to the user's location.

Data redundancy is a problem for businesses for many reasons. First, server space is wasted by storing the same data in different databases. The less storage space a business has, the longer it takes to recover data, which can negatively impact business performance. Also, storing the same data in multiple locations can lead to data corruption. This can lead to corrupt reports and analytics.

While data transfer to the cloud can take a long time, it is critical to minimize latency for critical data. State-of-the-art computer technology can solve this problem by moving analytics closer to the machine and cutting out the middleman. This can reduce data transmission costs and improve plant performance.

(Video) What is Edge Computing? Why it is in demand? Will edge computing replace cloud computing? (2021)

Although data redundancy has its advantages, it should only be implemented if it is designed on purpose. Redundant data is data stored in two or more locations to ensure that it is still available in the event of a disaster. This can be done on a computer system, on a local device, or in a cloud storage system. It can also be an important part of a business disaster recovery plan.

In smart agriculture IoT applications, edge-based data collection can reduce the amount of redundant data in the system, thereby reducing latency and power consumption. It also improves data collection by balancing the amount of data with the main event information. For example, in a software-defined wireless sensor network, key resource data types are extracted from a historical data set and used for data collection.

Reduce network latency

Edge computing is a new approach to computing that reduces network latency while increasing network performance. It works by offloading data processing from the central data center to a local network. The result is lower latency, better network performance, and less traffic. India's major telecom operators now offer edge computing solutions in partnership with equipment vendors. For example, Bharti Airtel partnered with IBM to implement this distributed computing platform in large companies across multiple industries.

Edge computing uses hardware and software close to the data source, which reduces overall network latency. In this way, data is processed closer to where it is needed, resulting in better security, more bandwidth, and greater network stability. In some cases, edge computing can eliminate the need for a data center entirely because processing is done locally.

Edge Computing is closely related to Cloud Computing and Fog Computing, but they are not the same. While both technologies focus on distributed computing, the main difference between them lies in the location of the computing device. Edge computing is physically close to the device, while cloud and fog computing are cloud-based.

(Video) Accelerating IoT Apps in the Real World Using Edge Computing

Edge computing is particularly useful in the manufacturing industry. The technology allows data to be processed closer to where it was generated, reducing network latency and allowing manufacturers to make better predictions about manufacturing processes. This also improves the possibilities of predictive maintenance. In addition to reducing network latency, edge computing is used in a variety of other applications.

It has the potential to impact both the mobile industry and society. Wireless networks are essential to deliver demanding applications. They provide data and control between cloud services and mobile devices. However, they are also limited in bandwidth and latency. They are also prone to congestion. As more mobile devices connect, this congestion creates network latency, resulting in slower response times for mobile users.

Edge computing helps reduce network latency and lowers network costs. You can also improve security by removing the gap between data collection and calculation. Edge computing also reduces security concerns associated with sending sensitive data across borders.

Improves compliance with local regulations

Edge computing is a technology that puts servers and storage where the data is: in one place. This means that only one device needs to be sent to the main data center for processing. Usually this equipment is enclosed in a reinforced or shielded box. Edge computing often involves business intelligence and data flow normalization. Once this processing is complete, the results are sent back to the main data center.

Edge computing can also improve privacy compliance. Many countries implement data retention laws and regulations that affect companies that store and process personal data. In the EU, the General Data Protection Regulation (GDPR) sets strict requirements that must be met by all organizations that collect and use data from EU citizens. Edge computing can help organizations comply with GDPR requirements and prevent data leakage. Smart cities can also use edge computing to analyze surveillance video locally.

(Video) What is edge computing?

Edge computing also offers cost savings. By storing sensitive data in the same place, edge computing can help organizations reduce network bandwidth and security costs. Edge Computing also helps organizations comply with local regulations and implement "seamless" physical and digital security policies. However, local IT staff in high-tech locations can be in short supply, making it difficult to meet security and compliance standards.

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Edge computing makes it easier for organizations to comply with regulations in more than one jurisdiction. With the spread of mobile computing, businesses are increasingly exposed to regulatory issues. Corporate devices are now outside the corporate firewall perimeter. However, locally processed data is still protected by local corporate security. Edge computing also helps organizations overcome data sovereignty issues and privacy regulations.

Edge computing is especially useful when bandwidth is limited or unreliable. For example, edge computing can be deployed on oil rigs, ships at sea, and even remote farms and villages. By reducing bandwidth, edge computing can significantly reduce the amount of data being transmitted.

(Video) Edge Computing Vs. Cloud Computing


What are some of the benefits of edge computing in an IoT ecosystem? ›

Edge computing can enable processing and filtering of IoT generated data closer to the devices, optimising bandwidth by ensuring that only data needed for longer term storage or analysis is streamed to a centralised management platform.

Which situation would benefit the most by using edge computing an offshore oil rig? ›

Which situation would benefit the most by using edge computing? Answer: An offshore rig needs to more efficiently process data.

Which of the following is a benefit of edge computing? ›

Edge Computing offers local Edge Data Centers for data storage and processing. Businesses can depend on reliable connectivity for their IoT applications, even when cloud services are affected. Edge computing allows IoT applications to use less bandwidth and operate normally under conditions of limited connectivity.

In which situation is edge computing used? ›

Edge computing is an emerging computing paradigm which refers to a range of networks and devices at or near the user. Edge is about processing data closer to where it's being generated, enabling processing at greater speeds and volumes, leading to greater action-led results in real time.

Which of the following is an advantage of edge computing over cloud computing? ›

High Security and Less Risk

The data stored in the cloud has a high risk of being hacked. This can be avoided since edge computing only sends the appropriate data to the cloud. In addition, edge computing does not always necessitate the use of a network connection.

What are the main advantages of edge capable devices becoming more intelligent in a local IoT subsystem? ›

For example, intelligence edge enhances IoT deployments by ensuring data processing happens closer to IoT devices. This way, IoT benefits in terms of improved data transport, efficiency, and low latency.

Which of the following are important applications of edge computing? ›

10 Edge computing use case examples
  • Autonomous vehicles. ...
  • Remote monitoring of assets in the oil and gas industry. ...
  • Smart grid. ...
  • Predictive maintenance. ...
  • In-hospital patient monitoring. ...
  • Virtualised radio networks and 5G (vRAN) ...
  • Cloud gaming. ...
  • Content delivery.

How edge computing is used in oil and gas industry? ›

Edge will enable real-time analysis of data

Oil facilities produce huge amounts of data. A single oil rig can generate over a terabyte of data each day – the equivalent of 130,000 digital photos. However, less than one percent of this data is analysed and used to generate insights, most is left unused.

What would be an ideal situation for using edge computing solutions? ›

An ideal situation for edge computing deployment would be in circumstances where IoT devices have poor network connectivity and also as it is not very efficient for IoT devices to be always connected to the cloud.

In which type of situation would it make sense to use edge computing accenture? ›

Edge makes sense for these cases where there are requirements for real-time or extremely rapid results. High data volume: While the cloud can handle very high data volumes, there is a significant cost of transmission and physical limitations of network capacity to take into account.

Which of the following is a benefit of edge fog computing brainly? ›

Answer: Latency Reduction. Reduced latency is the primary benefit of edge and fog computing.

What are the benefits of edge computing security Mcq? ›

  • It can alleviate latency issues.
  • It can ease network congestion.
  • It can bolster bandwidth for IoT devices.
  • All of the above.

Which situation would benefit the most by using edge computing Brainly answer? ›

Answer: An offshore oil rig needs to more efficiently process data would benefit the most by using edge computing.

What is edge computing in IoT? ›

Edge computing, a strategy for computing on location where data is collected or used, allows IoT data to be gathered and processed at the edge, rather than sending the data back to a datacenter or cloud. Together, IoT and edge computing are a powerful way to rapidly analyze data in real-time.

Which of the following are offered by edge computing? ›

Edge computing is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.

What is the role of edge computing? ›

The purpose of edge computing is to bring your applications closer to where the data is created and action must happen. When you do this, you can achieve much faster response times (very low latency from when an event happens until a response occurs).

How does edge computing make IoT more efficient? ›

IoT and edge computing work together to provide a faster, more efficient way of collecting and processing data. Edge computing takes care of real-time data processing, which reduces network congestion and latency. This allows a more seamless experience for the end-user, as well as increased efficiency.

What are the advantages and disadvantages of edge computing? ›

The Pros and Cons of Edge Computing
  • Improved Response Times and Latency Across All Devices.
  • Decreased Data Real Estate Creates Less Risk in Corporate Security.
  • Reduced Bandwidth Reduces Transmission Costs.
  • Economy of Scale Through Edge Devices.
1 Apr 2021

What are the advantages over using edge and fog computing rather than cloud for processing the data from sensors? ›

Edge computing and fog computing allow processing data within a local network rather than sending it to the cloud. That benefit decreases latency and increases security.

Which of the following are important applications of edge computing choose 2 options? ›

CX Innovation & Optimization
  • Computer Vision. Customized video and text analytics solutions.
  • Cloud Native Applications. ...
  • Enterprise Data Strategy. ...
  • Data Visualization and Storytelling. ...
  • Robotic Process Automation. ...
  • Application Modernization. ...
  • Data Warehouse Modernization. ...
  • Digital Platform Strategy.
26 Sept 2022

Which of the following is also referred to edge computing Mcq? ›

Explanation: Amazon CloudFront is referred to as a content delivery network (CDN), and sometimes called edge computing.

What are typical examples of edge devices? ›

Traditional edge devices include edge routers, routing switches, firewalls, multiplexers, and other wide area network (WAN) devices. Intelligent edge devices have built-in processors with onboard analytics or artificial intelligence capabilities. Such devices might include sensors, actuators, and IoT gateways.

What is the primary reason for edge computing? ›

From workplace safety to security and productivity, the benefits of edge computing are vast: More efficient operations. Edge computing helps enterprises optimize their day-to-day operations by rapidly processing large volumes of data at or near the local sites where that data is collected.

How can edge computing be used in factories? ›

Edge computing (as opposed to cloud computing) allows manufacturers to implement automation across factory floor and supply chain processes through advanced robotics and machine-to-machine communication closer to the source, rather than sending data to a server for analysis and response.

What would be an ideal scenario for using edge computing solutions mcq village? ›

Smart surveillance with facial recognition is a suitable application for edge computing technology.

What would be an ideal scenario for using edge computing solutions an office where workers? ›

an office where workers are directly connected to the company network.

In which type of situation would it make sense to use edge computing where data is uploaded to a server at a scheduled time each week? ›

Answer: where users are in close proximity to the central data server.

In which type of situation would it make sense to use edge computing o where users are in close proximity to the central data server? ›

Answer: It makes sense to use some edge computing where critical divisions need to made in a split second.

In which type of situation would it make sense to use edge computing where users are in close proximity to the central data server? ›

Answer: It makes sense to use some edge computing where critical divisions need to made in a split second.

Which system would benefit the most by using edge computing? ›

An offshore oil rig needs to more efficiently process data would benefit the most by using edge computing. Explanation: A framework of computing that brings computing nearer to the data source is called as Edge computing.

What is edge computing in IoT Mcq? ›

What is edge computing? Edge computing brings processing capabilities closer to the end-user or the source of data. In effect, this means having less computation and storage in the cloud, and instead moving to local places, such as an edge server.

Which of the following is a benefit of edge or for computer? ›

Latency Reduction

Reduced latency is the primary benefit of edge and fog computing. Data does not necessarily need to be sent to the cloud for processing as some of the compute can be performed nearer the data source for time-sensitive services.

What are two of the primary business benefits of edge computing? ›

Edge computing and its 6 industry-relevant benefits
  • Edge computing is bandwidth savvy. ...
  • Edge computing reduces latency. ...
  • Edge computing unifies resources. ...
  • Edge computing offers enhanced privacy. ...
  • Edge computing offers better efficiency for lower costs and less energy consumption. ...
  • Edge computing assigns clear ownership.
28 Jun 2022

Why edge computing in IoT? ›

Edge computing is important to the industrial IoT (IIoT) space because processing data locally at the edge can offer many advantages over centralized computing. One of the major reasons why this technology is being used in IIoT applications, is because it gives engineers more flexibility in designing their systems.

What is edge computing ecosystem? ›

[More articles about Innovation] Edge Computing relocates cloud data processing to the actual devices that generate them, reducing latency and making real time response possible from things like autonomous vehicles. Cloud.

What is a benefit of edge Fog Computing? ›

Edge and fog computing seek to place storage and computing resources much closer to, or even at, the location where data is generated. This effectively reduces or eliminates the need to move high volumes of raw data across large distances through a network.

What are 3 reasons that drive edge networking? ›

There are several reasons for this move to edge computing; the most notable are bandwidth, cost, reliability, security, compliance and latency.
  • Bandwidth. The first reason for edge computing is bandwidth. ...
  • Cost. ...
  • Reliability. ...
  • Security. ...
  • Compliance. ...
  • Latency.
10 Apr 2020

What is an edge device in IoT? ›

An intelligent edge device is a sophisticated IoT device that performs some degree of data processing within the device itself. For example, an intelligent industrial sensor might use artificial intelligence (AI) to determine whether a part is defective.

Which of the following is a challenge of IoT edge computing *? ›

Security, lack of consistent regulations and an increase in BYOD, edge and IoT devices are three looming challenges with edge computing and IoT, according to the report.

How can edge computing be used to improve? ›

Edge computing helps optimize energy usage by reducing the amount of data traversing the network. In addition, by running applications at the user edge, data can be stored and processed close to the end user and their devices instead of relying on centralized data centers that are often hundreds of miles away.

Why is it called edge computing? ›

So, what is edge? The word edge in this context means literal geographic distribution. Edge computing is computing that's done at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work. It doesn't mean the cloud will disappear.

What are types of edge computing? ›

There are four types of edge computing.
  • Cloud: The first type of edge computing is Cloud. ...
  • Device Edge: The second type of edge computing is the Device edge. ...
  • Compute Edge: The third type of edge computing is the Compute edge. ...
  • Sensor: The final type of edge computing is the sensor.
20 May 2020

What is edge computing answer? ›

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 years, some companies have consolidated operations by centralizing data storage and computing in the cloud.


1. Edge Computing - Advantages for industrial IoT applications
(Welotec GmbH)
2. The Significance of Edge Computing for the Future of IoT
3. Hybrid Cloud Day 2022: Unlocking IoT benefits across different layers of the edge
(AWS Events)
4. Edge Solution Management: Benefits of Industrial IoT Edge Computing Orchestration
5. Insights from the expert: IoT at the edge
6. Edge Computing as the most misunderstood weapon of the IoT world | Data Economy Frontline


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