Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review

R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

An improved PSO algorithm for smooth path planning of mobile robots using continuous high-degree Bezier curve

B Song, Z Wang, L Zou - Applied soft computing, 2021 - Elsevier
In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …

Modified firefly algorithm for workflow scheduling in cloud-edge environment

N Bacanin, M Zivkovic, T Bezdan… - Neural computing and …, 2022 - Springer
Edge computing is a novel technology, which is closely related to the concept of Internet of
Things. This technology brings computing resources closer to the location where they are …

A two-stage estimation of distribution algorithm with heuristics for energy-aware cloud workflow scheduling

Y **e, XY Wang, ZJ Shen, YH Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …

An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling

Y **e, Y Sheng, M Qiu, F Gui - Engineering applications of artificial …, 2022 - Elsevier
With the ever-growing data and computing requirements, more and more scientific and
business applications represented by workflows have been moved or are in active transition …

Minimizing cost and makespan for workflow scheduling in cloud using fuzzy dominance sort based HEFT

X Zhou, G Zhang, J Sun, J Zhou, T Wei, S Hu - Future Generation …, 2019 - Elsevier
More and more enterprises and communities choose cloud computing platforms to deploy
their commercial or scientific workflow applications along with the increasing popularity of …

Multiobjective cloud workflow scheduling: A multiple populations ant colony system approach

ZG Chen, ZH Zhan, Y Lin, YJ Gong… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing

G Ismayilov, HR Topcuoglu - Future Generation computer systems, 2020 - Elsevier
Workflow scheduling is a largely studied research topic in cloud computing, which targets to
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …

Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing

S Saeedi, R Khorsand, SG Bidgoli… - Computers & Industrial …, 2020 - Elsevier
Optimized scientific workflow scheduling can greatly improve the overall performance of
cloud computing. As workflow scheduling belongs to NP-complete problem, so, meta …