A comprehensive survey: Whale Optimization Algorithm and its applications

FS Gharehchopogh, H Gholizadeh - Swarm and Evolutionary Computation, 2019 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Hybridization of firefly and improved multi-objective particle swarm optimization algorithm for energy efficient load balancing in cloud computing environments

AFS Devaraj, M Elhoseny, S Dhanasekaran… - Journal of Parallel and …, 2020 - Elsevier
Abstract Load balancing, in Cloud Computing (CC) environment, is defined as the method of
splitting workloads and computing properties. It enables the enterprises to manage workload …

AdPSO: adaptive PSO-based task scheduling approach for cloud computing

S Nabi, M Ahmad, M Ibrahim, H Hamam - Sensors, 2022 - mdpi.com
Cloud computing has emerged as the most favorable computing platform for researchers
and industry. The load balanced task scheduling has emerged as an important and …

Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

AI Torre-Bastida, J Díaz-de-Arcaya, E Osaba… - Neural Computing and …, 2021 - Springer
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …

Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory

N Mansouri, BMH Zade, MM Javidi - Computers & Industrial Engineering, 2019 - Elsevier
As the world is progressing towards more efficient computing and faster approaches, cloud
computing is a popular computing model to such increasing requirements. In order to …

Reinforcement learning-based application autoscaling in the cloud: A survey

Y Garí, DA Monge, E Pacini, C Mateos… - … Applications of Artificial …, 2021 - Elsevier
Reinforcement Learning (RL) has demonstrated a great potential for automatically solving
decision-making problems in complex, uncertain environments. RL proposes a …

Cost optimized hybrid genetic-gravitational search algorithm for load scheduling in cloud computing

D Chaudhary, B Kumar - Applied Soft Computing, 2019 - Elsevier
In cloud computing, cost optimization is a prime concern for load scheduling. The swarm
based meta-heuristics are prominently used for load scheduling in distributed computing …

Honey bee based load balancing in cloud computing

W Hashem, H Nashaat, R Rizk - KSII Transactions on Internet and …, 2017 - koreascience.kr
The technology of cloud computing is growing very quickly, thus it is required to manage the
process of resource allocation. In this paper, load balancing algorithm based on honey bee …

A taxonomy of job scheduling on distributed computing systems

RV Lopes, D Menascé - IEEE Transactions on Parallel and …, 2016 - ieeexplore.ieee.org
Hundreds of papers on job scheduling for distributed systems are published every year and
it becomes increasingly difficult to classify them. Our analysis revealed that half of these …

[PDF][PDF] A survey in the resource-constrained project and multi-project scheduling problems

S Issa, Y Tu - Journal of Project Management, 2020 - academia.edu
Resource-Constrained Project and Multi-Project Scheduling Problems (RCPSPs and
RCMPSPs) have been essential topics of study over the last three decades. Both problems …