Edge computing is predicted to become a networking trend in 2021, according to market analysis research from Gartner, by 2025 it is predicted that three-quarters of the data generated by companies will be created and processed in the edge computing area. But do you yourself understand what edge computing is?
Edge computing is a computing process that is focused on processing IoT or internet of Things traffic and in edge computing in storage your data will be stored as close as possible to the data source to the data center which can reduce latency and unnecessary bandwidth usage.
Source: Photo by fauxels from PexelsSo in simpler terms, edge computing is a process that runs as little as possible from the cloud and moves it locally. In this concept, the edge network can carry computing with the aim of reducing long-distance communications between clients and servers.
IDC or more commonly referred to as the International Data Corporation, explains that edge computing is a mesh network contained in a micro data center that processes and stores important data locally and pushes it to a data center or cloud that is at least 100 square feet. So in other words, edge computing is a process that can reduce data processing routes from local to cloud systems.
Like other things, edge computing has its advantages and disadvantages, here are the advantages and disadvantages of edge computing.
Advantages of Edge Computing
Edge computing gives speed to your data because edge computing increases network speed by decreasing latency. Companies that store data in the cloud do not rule out being exposed to cyber attacks. Edge computing sometimes does not depend on an internet connection and edge computing also only sends relevant data to the cloud, so not all data can be retrieved when experiencing a cyber attack.
Source: Photo by Manuel Geissinger from Pexels
Edge computing does not depend on the internet and servers. So with edge computing you will have uninterrupted service. Not only that, edge computing can store and process data locally using microdata centers.
Edge computing can be used in IoT which can make users reduce bandwidth and data storage requirements and replace data centers with device solutions. This can reduce the cost of implementing IoT devices and applications significantly.
By using edge computing you can scale your own IoT network without worrying about your storage requirements. Not only that, by implementing an IoT device implementation, it can be deployed immediately.
Disadvantages of Edge Computing
Edge computing also has drawbacks, namely, in terms of security, because the data processed by the edge is outside the network which can result in the emergence of the risk of identity theft and cyber attacks.
Another drawback is that the edge only processes and analyzes some of the relevant data and data that is not considered relevant will be discarded, therefore the company will experience data loss. Implementing edge computing in your company will be costly and complicated. Not only that, because edge computing consists of various kinds of network maintenance that is carried out, it will be much more complicated and will cost a lot.
Even so, companies have started using edge computing technology in their companies, even though the cons of edge computing are quite risky, edge computing can help your company speed up data processing and can increase productivity. We, Helios Informatics, are ready to help and provide solutions for you in using edge computing. For more information visit us at www.helios.id or contact us via [email protected].
