Data is the moving force of modern day business that leads to valuable insight and support for real-time control over critical business processes and operations. Businesses are now submerge in an ocean of data that can be collected from sensors and IoT devices operating in real time from remote locations and operating environments almost anywhere in the world.
Bandwidth limitations, latency issues and unpredictable network disruptions are some of the issues businesses are facing concerning how data are being handled. In responding to these challenges, comes the introduction of edge computing.
Edge computing is a distributed computing model that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. Simply put, edge computing is the practice of capturing, processing, and analyzing data near where it is created.
This model is complementary to cloud computing by overcoming some of the limitations experienced with cloud computing as well as data centers, physical infrastructure, and software – these limitations include latency, bandwidth, data privacy, and autonomy.
While cloud computing leverages centralized data centers, edge computing leverages distributed micro data centers at the edge of the network where data is used closer to where it is generated.
Processing data closer to the source and prioritizing traffic, edge computing reduces the amount of data flowing to and from the primary network, leading to lower latency and faster overall speed.
How Edge Computing Works
With edge computing, instead of transmitting raw data to a central data center for processing and analysis – it is performed where the data is actually generated – whether in a factory floor, a sprawling utility, retail store or across a smart city. Whereas only the processed result such as real-time business insights, equipment maintenance predictions or other actionable answers, is sent back to the main data center for review and other human interactions.
Edge computing can be placed at enterprise premises, for example inside factory buildings, in homes and vehicles, including trains, planes and private cars which can be managed or hosted by communication service providers or other types of service providers with different use cases requiring various applications to deployed at different sites.
Benefits of Edge Computing
Benefits of edge computing include:
- Low latency
- High bandwidth
- Device processing
- data offload
- Trusted computing and storage.
Moving data processing to the edge of the network can help companies take advantage of the growing number of IoT edge devices, improve network speeds, and enhance customer experiences. The scalable nature of edge computing also makes it an ideal solution for fast-growing, agile companies.
Companies can optimize their networks to provide flexible and reliable service by harnessing the power of edge computing – to bolster their brand responsiveness and keep their customers happy.