Ranesh Kumar Naha

TL;DR: This survey will help the industry and research community synthesize and identify the requirements for Fog computing and present some open issues, which will determine the future research direction for the Fog computing paradigm.

TL;DR: The experimental results indicate that the performance of the proposed algorithms is better compared with existing algorithms in terms of overall data processing time, instance cost and network delay, with the increasing number of application submissions.

TL;DR: A novel simulator IoTSim‐Edge is proposed, which captures the behavior of heterogeneous IoT and edge computing infrastructure and allows users to test their infrastructure and framework in an easy and configurable manner and extends the capability of CloudSim to incorporate the different features of edge and IoT devices.

TL;DR: This survey aims to review, study, and analyze the automatic functions as a taxonomy to help researchers, who are implementing methods and algorithms for different IoT applications, to deal with the big data and real-time tasks in the IoT–Fog–Cloud ecosystem.

TL;DR: This paper aims to propose three different cloud brokering algorithms, and a load balancing algorithm, and confirms that the proposed algorithms minimized the cost, and at the same time, witnessed gains in service performance.