Low-Energy-Orientated Resource Scheduling in Cloud Computing by Particle Swarm Optimization
In order to reduce the energy cost in cloud computing, this paper represents a novel energy-orientated resource scheduling method based on particle swarm optimization. The energy cost model in cloud computing environment is studied first. The optimization of energy cost is then considered as a multi...
Format: | Article |
---|---|
Language: | zho |
Published: |
EDP Sciences
2018-04-01
|
Series: | Xibei Gongye Daxue Xuebao |
Subjects: | |
Online Access: | https://www.jnwpu.org/articles/jnwpu/pdf/2018/02/jnwpu2018362p339.pdf |
Similar Items
-
An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing
by: Kaili Shao, et al.
Published: (2023-08-01) -
An Enhanced PSO Algorithm for Scheduling Workflow Tasks in Cloud Computing
by: Samar Hussni Anbarkhan, et al.
Published: (2023-06-01) -
Multiobjective particle swarm optimization with direction search and differential evolution for distributed flow-shop scheduling problem
by: Wenqiang Zhang, et al.
Published: (2022-06-01) -
Internet of Things Data Cloud Jobs Scheduling Using Modified Distance Cat Swarm Optimization
by: Adil Yousif, et al.
Published: (2023-11-01) -
Application of Chaotic Cat Swarm Optimization in Cloud Computing Multi Objective Task Scheduling
by: Haiyu Zhang, et al.
Published: (2023-01-01)