A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments

L Abualigah, A Diabat - Cluster Computing, 2021 - Springer
Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …

A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing

L Zuo, L Shu, S Dong, C Zhu, T Hara - Ieee Access, 2015 - ieeexplore.ieee.org
For task-scheduling problems in cloud computing, a multi-objective optimization method is
proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud …

Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm

T Bezdan, M Zivkovic, N Bacanin… - Journal of Intelligent …, 2022 - content.iospress.com
Cloud computing represents relatively new paradigm of utilizing remote computing
resources and is becoming increasingly important and popular technology, that supports on …

Multi-objective-oriented cuckoo search optimization-based resource scheduling algorithm for clouds

SHH Madni, MSA Latiff, J Ali… - Arabian Journal for …, 2019 - Springer
Scheduling problems in cloud computing environment are mostly influenced by multi-
objective optimization but frequently deal with using single-objective algorithms. The …

An EDA-GA hybrid algorithm for multi-objective task scheduling in cloud computing

S Pang, W Li, H He, Z Shan, X Wang - IEEE Access, 2019 - ieeexplore.ieee.org
As one of the hot issues in cloud computing, task scheduling is an important way to meet
user needs and achieve multiple goals. With the increasing number of cloud users and …

Multi-objective task scheduling using hybrid genetic-ant colony optimization algorithm in cloud environment

AM Senthil Kumar, M Venkatesan - Wireless Personal Communications, 2019 - Springer
Task allocation within the cloud computing environment is a nondeterministic polynomial
time class problem that is laborious to get the best solution. It is an important issue in the …

Evolutionary algorithm-based multi-objective task scheduling optimization model in cloud environments

F Ramezani, J Lu, J Taheri, FK Hussain - World Wide Web, 2015 - Springer
Optimizing task scheduling in a distributed heterogeneous computing environment, which is
a nonlinear multi-objective NP-hard problem, plays a critical role in decreasing service …

Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions

H Singh, S Tyagi, P Kumar, SS Gill, R Buyya - … Modelling Practice and …, 2021 - Elsevier
In cloud computing environments, when a client wants to access any resources, hardware
components, or application services, he needs to get a subscription for the same from …

A WOA-based optimization approach for task scheduling in cloud computing systems

X Chen, L Cheng, C Liu, Q Liu, J Liu, Y Mao… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …

Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing

DA Amer, G Attiya, I Zeidan, AA Nasr - The Journal of Supercomputing, 2022 - Springer
The widespread usage of cloud computing in different fields causes many challenges as
resource scheduling, load balancing, power consumption, and security. To achieve a high …