Latency refers to the time required to transfer data between two points on a network. Here are some of the most important benefits of edge computing: The storage and computing resources from the data center are deployed as close as possible (ideally in the same location) to where the data is generated.Īpplications run only on one isolated computerĪpplications run locally either on the user’s device on in a data centerĪpplications run in data centers and processed via the cloudĪpplications run close to the user either on the user’s device or on the network edgeĮdge computing has emerged as one of the most effective solutions to network problems associated with moving huge volumes of data generated in today’s world. The concept of edge computing is simple - instead of getting the data close to the data center, the data center is brought close to the data. This amount of data puts an incredible strain on the internet, which in turn causes congestion and disruption.
According to a study by Gartner, 75 percent of enterprise generated data will be created outside of centralized data centers by 2025. However, the exponential growth in the volume of data produced and the number of devices connected to the internet has made it difficult for traditional data center infrastructures to accommodate them. This remains a classic and proven approach to client-server computing. It is then moved to the server through channels like the internet, intranet, LAN, etc., where the data is stored and worked upon. In a traditional setting, data is produced on a user's computer or any other client application. The most significant thing about this network edge is that it should be geographically close to the device. The edge can be the router, ISP, routing switches, integrated access devices (IADs), multiplexers, etc. The main goal of edge computing is to reduce latency requirements while processing data and saving network costs.įig: The “edge” is where the device communicates with the Internet ( source) Edge computing is a distributed IT architecture which moves computing resources from clouds and data centers as close as possible to the originating source.
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