Resource allocation in FC environment: A review
Neha Vaishnavi Sharma, Chander Prabha, S. B. Goyal · AIP conference proceedings · 2022
Cloud computing has already demonstrated its effectiveness in managing IoT applications’ computationally intensive operations. Despite its demand, cloud is not advised for delay demanding services due to the considerable delay contributed at communication networks via data centers, and massive flow of data it may congest the network. Fog computing was created to solve this problem by increasing Cloud computing capability and improving service quality of latency-critical applications. Fog computing has gotten a lot of attention in academia, and it’s now being used in industry and healthcare. Fog computing is ideal in some cases where resources are extremely restricted and the environment is complicated, and problems like data loss, and cooperation hazards are likely to take place. One of the most difficult parts of deploying IoT services in a fog based computing model is allocation of resources. The aim of this research is to look at current load on resource allocation in a fog computing environment by considering various factors. We then examined all of these metrics to perform a comparative assessment based on various parameters in order to determine the proficiency of various resource allocation algorithms. The major goal of this study is to examine why fog computing is necessary, why resource allocation is crucial in FC, and what metrics and methods are used to solve the fog computing allocation of resource issues.