The future-proofed platform for next-generation software of the future is Edge Computing. A necessary complement to the cloud, Edge brings information closer to the user.
Edge computing’s main goal is to minimize latency by moving the “computation” closer to the information where it's being created. As a result, user data is not sent to the cloud but processed at the edge of the network.
Unlike the traditional Cloud architectures that handle compute and storage in a centralized fashion, Edge architectures can perform these functions in a decentralized manner by pushing the data processing to as far as edge devices and gateways, in addition to performing tasks at the proximity edge data centers.
Edge Computing is playing a pivotal role in creating a paradigm shift in the Cloud Computing market. The Edge is poised to bring large bandwidth-intensive data files and latency-sensitive business applications closer to the end-user. This technology places compute, storage, and networking in close proximity to the data source. Edge Computing is applicable to a network end-point and is part of an overall cloud architecture.
Workloads that are generated from large bandwidth-intensive data files generally cause network congestion and delays. This holdup can manifest as service downtime at the end-point and cause distress to the customer. This issue can be prevalent in Cloud Computing due to the overhead in reaching the servers. Ultimately, the end consumer will lose patience and switch service.
The foregoing description of Edge Computing can offer fascinating prospects for data processing with several advantages:
Edge Computing offers high speeds and low latency.
Edge is more secure than ever, allowing safe data storage.
Easily scale and grow your Edge your operations.
Edge is sustainable for protecting client privacy.
Edge computing takes advantage of timeliness and security to enable unique applications. Combine a specific place, contextual intelligence, and a smart process and you can impact people in unique ways.
For (I)IoT use cases where latency is an issue, relying on the cloud is not an option. The workaround is to move “the cloud” closer to them (i.e., to the Edge)! Minimizing energy use is crucial for an (I)IoT device operating on a battery, for example. Let’s assume it can conduct a transaction in 20ms round trip time (RTT) to the Edge vs. 200ms RTT to the cloud. As the result, it can use 10 times less battery!
In summary, as the computing pendulum swings from the cloud to its edge, opportunities abound, particularly in the (I)IoT market. Understanding the impact of edge computing will allow you to provide seamless customer experiences, test new markets, and act on insights in real-time.
Speed in data transit for end users increases as devices process their computing and storage needs on the Edge of the internet (i.e., in local data centers, gateways, and/or the devices). This proximity in compute and storage reduces the discontinuation or downtime that your devices experience, and thereby enhances data flow through repetition at the Edge. Consequently, the network performance also increases at the Edge. Security benefits can be realized at the Edge through the distribution of data processing, storage, and applications across a wide range of devices and data centers. This dispersion makes it very challenging for a single interruption to shut down the entire network. This spreading characteristic of Edge Computing eases the implementation of security measures to isolate and block out only your affected area until the issue is resolved. Privacy is an inherent feature of Edge Computing. When data is consumed locally among the Edge Computing resources without transmissions to the Cloud, you substantially lower the risk of compromising it on the backhaul internet.
Applications for Edge Computing Technology
Edge Computing Technology is expected to revolutionize many industries. Some notable ones are Healthcare, Agriculture, Online Gaming, Video Streaming, Smart Factories, Smart Cities, Autonomous Vehicles, Smart Grid, and more.
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