LBPSGORA: Create Load Balancing with Particle Swarm Genetic Optimization Algorithm to Improve Resource Allocation and Energy Consumption in Clouds Networks

Table 1

Comparison of load balancing methods for cloud networks.

Reference	Description	Method	Advantages	Disadvantages	Simulations
[27]	Load balancing for optimization problem	Using modified PSO for load balancing	To maximize user-centric energy efficiency in the uplink communication	High capacity, low throughput, time complexity	MATLAB
[28]	Cloud provider load balancing PSOSA	Using PSO for having high performance LB in fog	VMs is presented to decrease LB on fog cloud	Has a multiplex physical resource and high time complexity	CloudSim
[29]	Load balancing with placement optimization MOPSO	PSO algorithm for time scheduling and improving energy	Low energy consumption	High delay and low throughput, time complexity	MATLAB
[30]	Load balancing decentralized particle swarm optimization	PSO-GA-based is presented to decrease LB on CloudNets	Low energy consumption, solve the optimization problem of maximizing the profit	High total execution time	MATLAB
[31]	Task scheduling problem on cloud is a load balancing for clouds with load balancing C-RAN	Scheduling constitutes one of the crucial aspects of resources management system in cloud computing	Improve energy consumption and resource utilization	High total execution time (makespan), bad throughput, and low quality of service	CloudSim
[32]	Cloud task scheduling problem with the aim of decreasing power	PSO-based for minimization energy and LB	Low energy consumption	Have a scheduling problem between virtual machines	CloudSim
[33]	CSOS energy-saving research of virtualization of the cloud computing platform with load balancing	PSO algorithm for solving time scheduling	Reduces energy with migration and high quality of service	Time complexity, high delay	MATLAB
[34]	DPSRA resource allocation VM-DPRA	PSO algorithm for solving time scheduling	Low energy consumption	Time complexity, high delay	MATLAB
[18]	Hybrid load balancing task scheduling problem PSO and GA	Novel load balancing symbiotic organisms search PSO + GA	Low cost, solving task scheduling	Time complexity and low quality of service	CloudSim