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

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 challenging, particularly for large task sizes. In the cloud computing environment, several tasks may need to be efficiently s...

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Bibliographic Details
Published in:	Cluster computing Vol. 24; no. 1; pp. 205 - 223
Main Authors:	Abualigah, Laith, Diabat, Ali
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2021 Springer Nature B.V
Subjects:	Algorithms Cloud computing Computer Communication Networks Computer Science Evolutionary computation Genetic algorithms Heuristic Maximization Methods Multiple objective analysis Operating Systems Optimization Optimization algorithms Optimization techniques Processor Architectures Resource utilization Scheduling Software services Task scheduling Virtual environments Meta-heuristic algorithms Antlion optimization algorithm Task scheduling Differential evolution Multi-objective optimization Virtual machines Optimization problem
ISSN:	1386-7857, 1573-7543
Online Access:	Get full text
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