Cloud Computing VS Edge Computing
Cloud computing refers to running workloads remotely over the internet in a commercial provider’s data center, also known as the public cloud model. It is a virtualized pool of resources, from raw compute power to application functionality, available at the touch of your fingers. When consumers obtain cloud services, the provider fulfills the requests using automation rather than manual provisioning. Today, Cloud computing services have completely replaced hard drive technology. A Cloud computing service is providing services like networking, Databases, Servers, storage, identity management, and software. Some popular cloud services include Microsoft Azure, Amazon Web Services (AWS) and Google Cloud (GCS). All data is gathered and processed in a centralized location. Computing devices that need to use applications or access this data must first connect to the cloud. Since everything is centralized, the cloud is easy to secure and control while still allowing for reliable remote access.
Despite all the advantages of cloud computing, some disadvantages also exist. Since the cloud is responsible for handling and storing large amounts of data, there is sometimes a delay before a data transfer begins. This is where edge computing differs from cloud computing. Let’s now look at the difference between the two types of computing and understand which one is better for businesses and individual users.
The main difference between the two is how data processing takes place. Most of the data processing through the existing IoT systems is performed within the cloud through centralized servers. Edge computing follows a completely different approach as it moves the processing away from centralized servers and closer to the end-users. Edge computing is used for real-time monitoring and analysis, whereas cloud computing is essentially used for the back-end data access that might not be efficient enough to provide real-time monitoring. It is a versatile approach to the network infrastructure that takes advantage of the process by combining modern IoT devices and edge data centres. One disadvantage of edge computing is that it only accumulates locally collected data, making it difficult to analyze big data. Cloud computing allows for a level of large scale data analysis that may not be possible with edge computing.
Cloud computing and edge computing are different and non-interchangeable technologies that can’t replace one another. Cloud computing is used to process data that is not time-sensitive, whereas edge computing is the complete opposite as timing is very crucial. By combining both, companies can keep their IoT devices running faster and more efficiently without sacrificing important data to improve services. More organizations are moving towards edge computing, but it is not the new solution. Delegating all data to the edge is not always a good decision. This is why cloud providers have started combining IoT strategies with edge computing. Cloud and edge computing are not direct competitors. They simply provide more computing options for all organizations needs going forward. Contact us today to find more about the future of edge and cloud computing and learn how we can help you protect your implementations. We will be more than happy to assist you with your computing needs.