Edge computing is taking place at the Edge of the network. It allows data from the Internet of Things (IoT) devices to be analyzed at the network edge. However, it creates a new approach to network architecture. Also, many companies moving from cloud to edge-based solutions. Because of the underlying cost, storage, and bandwidth requirements that exist in cloud computing. Likewise, there are some pros and cons of Edge Computing. Many companies may be confused about how edge computing differs from other data processing solutions and how it can benefit their business.

Pros and Cons of Edge Computing

Pros

1. Edge computing relieves some of the security stress in data centers by processing and storing data at the local server or device level. The important data is sent to the data center to avoid irrelevant data, such as hours of inactive security footage, remaining at the local level. Large amounts of centralized data bring greater risk, more time spent sorting out less useful data in the cloud, and more investment in enterprise security architecture.
2. Every millisecond of a company matters to its business. They can lose thousands of dollars due to downtime or delays. Edge computing can increase network speed by reducing latency. Processing data closer to the source of the information, greatly reduces the distance it should travel. In this way, the end result is a delay measured in milliseconds.
3. The pros of edge computing, it provides a much lower-cost path to scalability and versatility. Also, allows companies to expand their computing power through a combination of IoT devices and edge data centers.
4. They process data locally or through local edge network sensors. This is true even if other central networks and nodes fail. On-premises operations can continue to operate even as more serious data center issues are resolved.
5. DDoS attacks have been the bane of cloud-based services. However, DDoS is a malicious activity in which a victim’s server is flooded with fake queries, clogging up the network and preventing real users from accessing services online. This challenge can be solved by edge computing. And also allows users to enjoy uninterrupted services.
6. Edge devices process data in nearly every corner of the globe, allowing for wider access, fast results, and overall user satisfaction.
7. Edge devices can handle less complex data requests locally and free up bandwidth to handle larger data processing demands in existing data centers.

Cons

1. Most geographic areas may be at a disadvantage when it comes to edge implementation. Especially, in those areas with fewer people and financial resources, there may be fewer active edge devices and local servers on the network. One other possible reason is the lack of skilled IT professionals capable of launching and managing on-premises edge network devices.
2. One of the cons of edge computing is to provide adequate security which is challenging in edge distributed environments. Because data processing occurs at the outer edge of the network, there is often a risk of identity theft and cybersecurity breaches. Also, every time new IoT devices are added, it increases the chances of an attacker infiltrating the device.
3. As useless data is discarded and never goes into a cloud data center for storage. While it can be frustrating to search through all the existing information in a cloud data center. Its central storage ensures that data is always available when you need it. However, it is possible that edge devices can misinterpret or lose critical data.
4. Some of the problems with implementing edge computing are that you also need more system capacity. Storage devices and computing grow in compact and complex situations. But you don’t have to worry about functionality.
5. Edge computing is a distributed system. This means that the network composition with multiple computing nodes is more diverse. This requires higher maintenance costs.
6. The range and diversity of available resources are part of what makes cloud computing so attractive to edge or fog computing.
7. While some network limitations are overcome with edge computing. But the phenomenon still requires at least a little connectivity all the time. No concrete pattern developed on what will happen if connectivity is extremely poor or lost altogether.

Final Thoughts

The pros and cons of edge computing help understand this technology better. However, some combinations of edge computing and fog computing can reduce latency to acceptable levels.

It is possible that more companies are likely to start adopting edge computing in the next few years with the serious flaws of this approach.

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