With the rapid growth of automation of industries, the use of IOT Devices has increased resulting in unprecedented volume of data. As 5G knocks the door more IOT devises are expected to be mobilized resulting in rapid expansion of data.

Previously the cloud and AI work was to automate and speed innovation by driving actionable insight from data. But now the enormous scale and complexity of data due to vast IOT device-connectivity has outpaced network and infrastructure capabilities resulting in bandwidth and latency issue.

Edge computing offers more efficient alternative. It is a distributed computing framework that brings enterprise applications closer to data source such a IOT devises. The proximity will process and analyze the data without traversing over a network to a cloud or data base center this helps in faster insight, improved response time, simplified data management and bring agility in business.

5G and edge computing are opening a world of new revenue opportunities across manufacturing, transport, gaming, and other industries you name it. Communication Service Providers (CSP) are looking for new revenue sources to grow their businesses, especially in the enterprise area which will be increasingly important in the future.

No matter what edge technology you use whether it is cloud edge, IOT edge or mobile edge an effective edge computing model should address network security risks, management complexities, and the limitations of latency and bandwidth.

A viable model should help you:

  • Manage the workloads on any number of devices across all cloud setups.
  • Deploy applications with reliability and seamlessly across all edge locations.
  • Maintain data openness and flexibility to adopt to evolving needs.
  • Operate with more security and with confidence.

Experts believe the true potential of Edge computing will become apparent once 5G networks go mainstream. Users will enjoy consistent connectivity, less latency, and more agility in the coming 5G world.

Categories Blog

Leave a Comment