A modified PSO algorithm for task scheduling optimization in cloud computing. (21st September 2018)
- Record Type:
- Journal Article
- Title:
- A modified PSO algorithm for task scheduling optimization in cloud computing. (21st September 2018)
- Main Title:
- A modified PSO algorithm for task scheduling optimization in cloud computing
- Authors:
- Zhou, Zhou
Chang, Jian
Hu, Zhigang
Yu, Junyang
Li, Fangmin - Other Names:
- Laccetti Giuliano guestEditor.
Lapegna Marco guestEditor.
Montella Raffaele guestEditor.
Kosta Sokol guestEditor.
Wu Shaofei guestEditor. - Abstract:
- Summary: With the increasing scale of tasks in cloud computing, the problem of high energy consumption becomes increasingly serious. To deal with the problem, we propose a cloud computing energy consumption model, which takes into account the execution and transmission cost of the processor. Then, based on this model, we put forward a task scheduling optimization algorithm named modified particle swarm optimization (M‐PSO) to handle the local optimum and slow convergence problem. Different from the PSO, M‐PSO can dynamically adjust the inertia weight coefficient to improve the speed of convergence according to the number of iterations. Finally, the performance of the proposed algorithm is evaluated through the CloudSim toolkit, and the experimental results show that the M‐PSO can efficiently reduce total cost compared with other algorithms.
- Is Part Of:
- Concurrency and computation. Volume 30:Number 24(2018)
- Journal:
- Concurrency and computation
- Issue:
- Volume 30:Number 24(2018)
- Issue Display:
- Volume 30, Issue 24 (2018)
- Year:
- 2018
- Volume:
- 30
- Issue:
- 24
- Issue Sort Value:
- 2018-0030-0024-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2018-09-21
- Subjects:
- cloud computing -- inertia weight -- particle swarm optimization -- task scheduling
Parallel processing (Electronic computers) -- Periodicals
Parallel computers -- Periodicals
004.35 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/cpe.4970 ↗
- Languages:
- English
- ISSNs:
- 1532-0626
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3405.622000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8516.xml