Edging into the Next Decade with – Edge Computing

Cloud computing is the trend where all the data is processed in a centralized location called the data center. The device accessing this data center connected to the cloud. One can still rely on remote access and securely exchange the data. Cloud computing is in use by most of the technology-driven industries, and the usage has been expanded quite quickly across the verticals because the expansion of the data center is scalable and, the infrastructure is not much complicated. Even though Edge Computing is currently not the need of the hour, it’s going to be the most in a decade. Again the traditional industries might be reluctant in shifting to Edge Computing from the Cloud, as their need is sufficed with Cloud Computing.

The major users of Edge computing will be IoT devices. All the SMART devices currently active across the world are categorized under IoTs. Using Edge and cloud computing in a combination will give the user more storage space and, they can be running their devices much fast with increased efficiency. This methodology will need a minor alteration in the data center infrastructure and not a major re-do.

Edge computing follows decentralized data computation enables real-time processing without any latency. Edge computing comes with features beyond cloud computing and, merging the two will give us add on benefits that can’t attain individually. Edge sites are close to the end-users, this avoids the unreliable connections. All the smart devices which need to run close to the users need edge computing.

Edge computing facilitates access to multiple applications via a dynamic pool of sites. Edge will also resolve the latency in most of the desktop driven games. Rather, it is a boon to all the time driven applications. As, it reduces the effect of limited bandwidth. An industry-driven stock market can’t afford the delay in the decision-making process. In such an industry a device associated with the Edge will always have the maximum tolerance set and sends an alarming notice before the system would crash down.

Edge computing favors mostly the industries which have time-driven data processing. All the Ecommerce activities are time-driven and Edge computing will resolve the latency. Automated automobiles can opt Edge computing, so that delay in the decision making by a self-driven automobile be nullified, not only that it can also reduce the load on the network. Edge computing facilitates filtering the data at the source rather than filtering at the data center and then processing it. Accessing the google maps via the cloud of an automobile is time-consuming whereas Edge Computing resolves it in not less than a millisecond. Though Edge computing is not a replacement for cloud computing, it is an add on to the former.

The reason has always existed, but not always in a reasonable form – Karl Marx.