Hybrid Load Balancing Algorithm for Fog Computing Environment

Abstract

Fog computing has become a new trend in the Internet of things domain and cloud computing applications. It is a novel model to achieve the availability, flexibility and better responding time. In spite of that, there is so many challenges facing computing environments such as the misuse of the resources and load-balancing between them, which has a major effect on performance. The requirement of effective and robust load-balancing algorithms is one of the most significant interest in this field. Many researchers suggested various load-balancing algorithms in fog computing, but there is still inefficiency in the system performance and misalignment in load -balancing. This paper will provide a description of numerous concepts such as computing fog, fog nodes, load balancing and then we recommend a load-balancing algorithm to enhance the fog-computing environment performance, which is a hybrid algorithm benefits from the optimizing processing time (OPT) algorithms. In order to explore the proposed algorithm performance, a comparison made with other algorithms. Results indicates that using the proposed optimizing processing time algorithm in load-balancing algorithm has superior response and processing time than the compared algorithms to user requests, and the data total cost centre’s as well.

Fog Computing for Delay Minimization and Load Balancing

“…Foroffloadingtaskcontainerswereused.Ifwetalkaboutconventionalcomputing,theservice developerisresponsibleformakingfognodes.Butthesethreethingswereusedbyinfrastructure providers,servicedevelopers,andenddevices (JuanLuoa&LuxiuYina,2013) (Kaur,M.&Aron,R.,2021).This paperdescribesanumberofconcepts,includingcomputingfog,fognodes,andbandwidthallocation, before recommending a load-balancing technique to optimize the fog-computing environment's achievement,whichisahybridalgorithmthattakesadvantageoftheoptimisingprocessingtime(OPT) algorithms.Acomparisonwithdifferentalgorithmswasdoneinordertoinvestigatethesuggested algorithm's performance. The suggested optimising processing time algorithm in load-balancing algorithmhasbetterresponseandprocessingtimetouserrequestsandthedatatotalcostcenter's thanthecompetingmethods (Abuhamdah,A.&Al-Shabi,M.,2022).…”

Efficient criticality oriented service brokering policy in cloud datacenters

“…Response time is the total amount of transit period, waiting time, and processing interval that the DC spends responding to a specific task. For better system efficiency, the workload necessities to be distributed among suitable DCs in a way that minimizes response time task deadline is a very important parameter of a task that specifies the timeline of the task, which indicates when the task must be completed [20], [21].…”

Hybrid load-balancing algorithm for distributed fog computing in internet of things environment

“…Almost any IoT application might make use of this method because of how general it is. d. A hybrid approach that makes use of optimizing process time (OPT) techniques for load balancing in fog computing environments is presented in [17]. A comparison with different algorithms is done to investigate the suggested algorithm's performance.…”