Dissecting the Advantages and Hindrances of Edge Computing
Businesses apprehending the benefits of digital transformation mostly do not turn a blind eye on the adoption of cloud computing technology and its relevance. Being a technology trend that swayed the conventional business modes of operation, Cloud has granted advantages that elevated enterprises to keep their services up the notch. This has become possible through a number of Cloud vendor giants like AWS, Microsoft Azure, and Google Cloud that drives more business to jump on the bandwagon of Digital transformation. Though the adoption of cloud is still burgeoning across business operating in different industry verticals, it is no longer an emerging technology.
The year 2020 will witness a shift of computing to Edge that revamps the way data is being handled, used and delivered from different devices around the world. As there are humongous amount of data generated from millions of devices, there will be certain shortcomings in cloud computing to live up to the dream of efficient data accumulation. Edge computing is unfolded to solve the crisis in such situations by bypassing the latency issues and transferring data to data centres for processing. The unveil of 5G network will empower the creation of real-time applications including video processing and analytics, as well as much anticipated developments in autonomous technology, AI, and robotics.
By bringing the computation and data storage to the edge of the network, Edge computing ousts the need for relying on a central location situated somewhere else. This could help in reducing or eliminating the latency issues with real-time data in the performance of an application. However, likewise in many technologies, solving one problem creates another. Observing the security aspect of the edge is quite troublesome. Since there are multiple devices where data is being handled, it cannot be as secure as a cloud platform. When a deluge of IoT devices get connected, it becomes compulsory to make sure of the IT around the systems and its security features. This ranges from ensuring whether the data is encrypted to using the proper access-control methods.
It is apparent that the primary goal during the innovation of edge computing was to reduce the bandwidth cost. Meanwhile, from now real-time applications requiring local processing and storage capabilities will likely take forward the innovation of Edge computing in the coming years.