Advantages of Edge Computing

As more IoT devices and AI software require faster reaction times, edge computing addresses that requirement by bringing additional compute, network access, and storage capabilities closer to the data.

Fremont, CA: Edge computing, the process of computing on local servers and devices "on the edge" of the network rather than on remote cloud data centers, is becoming a leading solution for powering the sheer volume & complexity of network technologies that exist at the local level, especially Internet of Things (IoT) devices.

Advantages of Edge Computing

• Improved Response Times And Latency Across All Devices

One of the primary benefits of edge computing is that data processing occurs at a more local level, necessitating less time and a reduced latency time for the device and, as a result, the user. Edge computing is especially advantageous for IoT devices like smart home hubs, which can respond to a user's query more rapidly since the data doesn't have to travel to or from a distant cloud data center.

As more IoT devices and AI software require faster reaction times, edge computing addresses that requirement by bringing additional compute, network access, and storage capabilities closer to the data.

• Reduced Bandwidth Reduces Transmission Costs

Aside from the possibility of streamlining cloud security models, edge computing could also result in significant cost reductions due to lower bandwidth. Edge computing requires less bandwidth at the data center level since so much data is now processed and stored on localized servers and devices, eliminating the need for most data to go to data centers. Data centers can save bandwidth capacity and prevent costly improvements to existing cloud storage features by storing less data in the cloud and processing more data locally.

• Decreased Data Real Estate Creates Less Risk In Corporate Security

Edge computing relieves the security burden on data centers by storing and managing data at the server or device level. Only the most critical data is transported to data centers, while less vital data, including hours of inactive surveillance footage, remains local. As a result of edge computing, less comprehensive data gets moved to the cloud, implying less data to monitor and control for breaches.