Exploring and Optimizing the Fog Computing in Different Dimensions
Pratik Kanani, Mamta Padole · Procedia Computer Science · 2020
Internet of Things (IoT) and Cloud Computing have enabled real time decision making in systems like irrigation system, weather monitoring systems, smart home, driver-less vehicles etc. The cloud infrastructure has great computation power but involves high network latency. Thus, is unsuitable for critical health care applications like ECG monitoring, where the delay, in decision making, communicating emergency and giving timely treatment may become fatal. In such situations, Fog Computing facilitates very fast and secured response by saving network transmission to cloud and hence delays. In this paper, Fog Computing is explored in terms of its architecture, characteristics, functioning and purpose. Several fog nodes which are available in the market are studied and represented which can be used for Fog Computing developments. Existing applications and different Fog based applications are discussed along with the pros and cons of Fog Computing. Different optimization techniques to improve the Fog computing are discussed in detail with their impact on performance time. Such optimization techniques help to make health care application more efficient in terms of response time. Here, Fog Computing domain is explored in possible dimensions and relevant enhancements are discussed.