Vision and Challenges of Edge Computing
Ashwini Kumar · Journal of Emerging Technologies and Innovative Research · 2019
The expansion of Internet of Things (IoT) and the performance of rich cloud service has expanded the boundaries for the latest computing model of edge computing. Edge computing is capable of solving the problems of response time, battery life constraints, bandwidth saving, privacy security and safety. For some IoT applications, the response time could be incredibly small, some might be private, and others might generate a huge volume of data for the networks, which might create a large load. Cloud computing cannot accommodate these programs enough. Researcher expect the edge of a network to switch from the data provider to both the data manufacturer as well as the data user by incorporating cloud storage as an IoT drive. Within this paper, a concepts of cutting edge computing and multiple case studies covering the principle of cutting end computing from cloud offloading to smart home and community is presented. Finally, they pose many problems and opportunities in the edge computing sector and hope that this paper will draw global interest and encourage more work in this area.