One might think that edge computing, a more decentralized model of computing, is here to replace the traditional cloud architectures. This is not the case.
Edge computing and cloud computing are both exceedingly important infrastructures in Industry 4.0.
As it is important to know which one to use to improve the management and maintenance of an IT system, this article introduces the basics and compares the benefits of both infrastructures.
Centralized data collection and processing
Due to everything being centralized, the cloud is easy to control. Cloud computing is to a certain degree outsourcing computing resources, which are hosted by an external party and are in a virtual space – the cloud.
60 years in the making
During those early times of technology, storing data in CPU was very expensive, and for that reason, the client-server architecture was popular with mainframe and terminal applications. File servers gained popularity for storing huge amounts of information.
The late ’90s introduces the term “cloud”
By that time, the cloud metaphor was already used for virtualized services. It originates from the cloud symbol used by flow charts and diagrams to symbolize the Internet.
The cloud as we know it
In the present day, one of the best scenarios for the use of a cloud is a test and development environment. Cloud users can store files, data, and applications on remote servers and access this data with the help of the Internet.
Moving resources closer to users and devices
With edge computing, the data can be gathered, analyzed, and applied faster than ever before.
The beginning: CDN introducing the new nodes in the 1990s
The CDN introduced nodes, that stored cached static content, at locations geographically closer to the end-user.
Optimizing data flow
Performing computations at the edge of the network reduces network traffic, which reduces the risk of a data bottleneck. It optimizes the data flow to minimize operating costs.
In edge computing, the computing resources are moved as close as possible to end-users and devices. This is especially useful in locations with harsh conditions, such as remote or outdoor areas with poor quality connections.
Edge computing also helps to reduce unplanned machine downtime, due to its continuous connectivity. The edge technology may interact with a centralized cloud, but it does not need contact with it.
Comparing the two S's: Speed and Scalability
Even though they are not direct competitors, to know which infrastructure to use, it is necessary to compare the main benefits.
Speed - Only relevant data counts
The centralized nature of cloud computing makes it difficult to process data gathered from the edge of the network quickly and effectively. This latency can lead to difficulties when data must be processed in real-time.
Edge computing reduces latency
Edge computing increases network performance by reducing latency. It enables data stream acceleration, which includes real-time data processing without latency.
This is possible by processing data closer to the source and reducing the physical distance it must travel. The longer it takes to process data, the less relevant it is.
Edge computing makes your data more relevant, useful, and actionable. It also reduces the traffic load.
Not all the data collected is critical, so sending only relevant data saves bandwidth, and the speed, quality, and responsiveness of the overall service are increased.
An additional moment of downtime might be very costly, and for that reason, the advantages of edge computing should not be missed.
Scalability – Avoiding bottlenecks
Cloud computations need to transfer a lot of data over the internet, requiring a high bandwidth network. Scalability limitations are very present in cloud computing since the constant communications between servers and users use up bandwidth and can eventually saturate it.
To improve the performance, optimizations for the data exchange bottleneck have been done, but cloud computing is still prone to slow operations.
No storage worries with the edge
Edge computing reduces the load on networks by reducing the volume of data pushed back to the core network.
The edge can be used to scale an IoT network without needing to worry about the storage requirements. Adding more devices does not increase the network’s bandwidth demands considerably, and this reduces growth costs.
Two approaches complementing each other
Cloud and edge computing do not rule out one another but complement each other.
Sometimes the solution to get high results is to use both technologies. The combination of edge computing and cloud computing can provide the opportunity to maximize their potential and, at the same time, reduce their drawbacks.
We at Treon focus on sensing at the edge. We make it easy to utilize the best of both edge and cloud computing. Our products enable innovation in a wide range of IoT-applications, such as condition monitoring, logistic & asset tracking, environmental monitoring, and more.
Check out our products to learn more about our wireless devices.