task scheduling algorithms namely Max-Min, First Come First Serve (FCFS), and Round Robin (RR) in cloud computing environments based on the performance metric of the Virtual Machines (VM) resources' cost, average time and makespan to find the best performing algorithm in the cloud en...
for workflow scheduling and have compared it with four nature鈥恑nspired algorithms, namely, particle swarm optimization (PSO), genetic algorithm (GA), ant colony optimization (ACO), honey bee, and cat swarm optimization (CSO), keeping the fitness function same for all of them using CloudSim....
The scheduling algorithm was simulated with cloudsim tool package. The experiment shows that, the algorithm reduces task completion time and improves resource utility rate.Hilda LawranceDr. Salaja SilasEngg Journals PublicationInternational Journal of Engineering Science & Technology...
In Fan et al. [32], the authors propose an algorithm for optimizing the scheduling of pods in the Serverless framework on the Kubernetes platform. The authors argue that the default Kubernetes scheduler, which operates on a pod-by-pod basis, is not well-suited for the rapid deployment and ...
Experiments are carried out on CloudSim platform, and the results show that the proposed algorithm can obtain better scheduling solutions than other algorithms in large-scale cloud task scheduling problems (Zhao et al. 2023). Mohammadzadeh et al. proposed a hybrid binary and chaotic multi-objective...
The performance issues of the scheduling algorithm include the execution time and resource utilization. A good scheduler can use fewer resources and times to run jobs. Using fewer resources implies that less energy is consumed. The power consumption is one of the major issues for building large-...
The algorithm’s viability is evaluated using CloudSim, and the experimental results indicate that, in comparison to homo-logical techniques, the proposed algorithm offers the quickest convergence speed, shortest completion time, and maximum VM utilization rate. A cost-effective Firefly-based algorithm ...
In CloudSim, different parameters, like data centres, use communication processes for transmission. Parameter settings The performance of the SSO algorithm on solving job scheduling is coded using FogSim with CloudSim under Windows 10 on an Intel i5 processor with 3.4GHz and 16GB RAM. The empirical...
In (Amer, 2022); a hybridized approach used to develop a scheduling algorithm by enhancing opposition based learning and using standard HHO approach. Opposition based learning is enhanced to increase exploration phase and HHO used for scheduling. It implemented on Cloudsim, random and real time ...
In this study, an improved particle swarm optimization (IPSO) algorithm was proposed to improve the efficiency of resource scheduling, and simulation experiments were carried out on the IPSO algorithm and the traditional particle swarm optimization using CloudSim simulation platform. The phenomenon of ...