MOTS‐ACO: An improved ant colony optimiser for multi‐objective task scheduling optimisation problem in cloud data centres. Issue 2 (8th February 2022)
- Record Type:
- Journal Article
- Title:
- MOTS‐ACO: An improved ant colony optimiser for multi‐objective task scheduling optimisation problem in cloud data centres. Issue 2 (8th February 2022)
- Main Title:
- MOTS‐ACO: An improved ant colony optimiser for multi‐objective task scheduling optimisation problem in cloud data centres
- Authors:
- Elsedimy, Elsayed
Algarni, Fahad - Abstract:
- Abstract: Task scheduling in cloud data centres is an optimisation problem that aims to minimise power consumption and task makespan as well as ensures the quality of service delivered to cloud consumers. Although there are several existing task scheduling approaches, these methods mainly focus on optimising makespans of tasks while ignoring critical issues. This paper presents a comprehensive multi‐objective task scheduling model based on an improved Ant Colony Optimisation (ACO) algorithm, referred to as MOTS‐ACO. In order to promote the diversity of the Pareto set and accelerate the convergence speed, adaptive distribution probability is incorporated into the proposed algorithm, specifically in the process of updating the global rule. The performance of MOTS‐ACO is compared with several existing multi‐objectives task scheduling algorithms based on the makespan time, turnaround time, power efficiency and load balancing parameters. The results show the superiority of MOTS‐ACO in terms of the makespan time, turnaround time, power efficiency and load balancing. Moreover, the proposed MOTS‐ACO algorithm introduces more diversity in the search and accelerates the convergence speed towards the Pareto optimal solution.
- Is Part Of:
- IET networks. Volume 11:Issue 2(2022)
- Journal:
- IET networks
- Issue:
- Volume 11:Issue 2(2022)
- Issue Display:
- Volume 11, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 11
- Issue:
- 2
- Issue Sort Value:
- 2022-0011-0002-0000
- Page Start:
- 43
- Page End:
- 57
- Publication Date:
- 2022-02-08
- Subjects:
- ACO -- cloud computing -- load balancing -- makespan -- power efficiency -- task scheduling -- turnaround time
Computer network architectures -- Periodicals
Computer network protocols -- Periodicals
Information networks -- Periodicals
Telecommunication systems -- Periodicals
004.605 - Journal URLs:
- http://digital-library.theiet.org/IET-NET ↗
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6072580 ↗
https://ietresearch.onlinelibrary.wiley.com/journal/20474962 ↗
http://ieeexplore.ieee.org/Xplore/home.jsp ↗ - DOI:
- 10.1049/ntw2.12033 ↗
- Languages:
- English
- ISSNs:
- 2047-4954
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252870
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21119.xml