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.

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.

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.

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.

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.