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The need for intelligence in today’s era has tremendously increased the demand for Internet of Things (IoT) devices implanted to collect and process diverse data. Cloud computing offers a plethora of services to computationally constrained internet of things devices, but latency degrades the performance of real-time applications. A few other computing paradigms have been developed through the years to overcome this limitation of IoT devices. Fog computing, one of these paradigms, comes into picture as a backbone and offers services to applications which are required to be processed within a deadline. However, addressing challenges such as heterogeneity, offloading mechanisms, resource allocation, and complexity is crucial. This paper presents a framework for intelligent offloading mechanisms and an efficient resource allocation that results in improving the quality of service (QoS) parameters in an …