Fog computing is promoted with leveraging load balancing techniques so as to balance the load which is done in two ways, that is, static load balancing and dynamic load balancing. In this paper, different load balancing algorithms are discussed and their comparative analysis has been carried out....
Milan S et al (2019) Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments. Comput Oper Res 110:159–187 Article MathSciNet Google Scholar Y. Sun, F. Lin, H. Xu, “Multi-objective Optimization of Resource Scheduling in Fog Computing Using an...
Pereira, E., et al.: Increasing the efficiency of fog nodes through of priority-based load balancing. In: IEEE Symposium on Computers and Communications, Rennes, France (2020) Yan, J., et al.: Task offloading algorithms for novel load balancing in homogeneous fog network. In: IEEE 24th In...
Load-balancing algorithms in cloud computing: A survey 4 Survey on existing load balancing mechanisms In this section, we survey the literature on the existing mechanisms for load balancing in cloud environments. For this purpose, we studied a number of journals and conference proceedings to present...
In Edge and Fog Computing environments, it is usual to design and test distributed algorithms that implement scheduling and load balancing solutions. The operation paradigm that usually fits the context requires the users to make calls to the closer node for executing a task, and since the service...
A load-balancing method is essential in addressing the relationship between cloud resources and performing effective resource utilization. A resource-efficient and dynamic consolidation of virtual machines-based technique was developed in10. The proposed method was based on four algorithms created at ...
Modified grey wolf optimization for energy-efficient internet of things task scheduling in fog computing ArticleOpen access27 April 2025 A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques ArticleOpen access08 April 2025 ...
Xu et al. [26] proposed a dynamic resource allocation method, named DRAM, which is designed through static resource allocation and dynamic service migration to achieve the load balance for the fog computing systems. However, the existing network load balancing algorithms cannot be directly applied ...
As a part of our future work, we plan to commercialize this implementation of split computing with RCNS along with load balancing algorithms based on energy profiling. CRediT authorship contribution statement Jyotirmoy Karjee: Conceptualization, Methodology, Study design, Validation, Formal analysis, ...
the degree of imbalance is measured in terms of the deviation of its population from the mean population of all subdomains. In order to combine the advantages of both grid adaptation and parallelization, without their side-effects, several load-balancing algorithms have been proposed [4], [5],...