Multi-dimensional QoS Cloud Computing Task Scheduling Strategy Based on Improved Ant Colony Algorithm. Issue 1 (April 2021)
- Record Type:
- Journal Article
- Title:
- Multi-dimensional QoS Cloud Computing Task Scheduling Strategy Based on Improved Ant Colony Algorithm. Issue 1 (April 2021)
- Main Title:
- Multi-dimensional QoS Cloud Computing Task Scheduling Strategy Based on Improved Ant Colony Algorithm
- Authors:
- Ge, Junwei
Yu, Dehua
Fang, Yiqiou - Abstract:
- Abstract: This paper proposed a multi-dimensional QoS cloud computing task scheduling algorithm based on improved ant colony algorithm, considering QoS demand of users and load balancing of cloud platform comprehensively. First, this paper defines a QoS model composed of the completion time and execution cost of tasks, and defines the cloud platform load balancing constraint function. Secondly, in view of the shortcomings of ant colony algorithm such as slow convergence speed and easy to fall into local optimum, the pheromone update method and expected heuristic function are improved, and the pheromone strength is dynamically changed. Finally, the simulation is carried out in cloudsim and compared with the ACS algorithm and the MMAS algorithm. Experimental results show that the algorithm in this paper is better than these two algorithms in terms of user satisfaction and cloud platform load.
- Is Part Of:
- Journal of physics. Volume 1848:Issue 1(2021)
- Journal:
- Journal of physics
- Issue:
- Volume 1848:Issue 1(2021)
- Issue Display:
- Volume 1848, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 1848
- Issue:
- 1
- Issue Sort Value:
- 2021-1848-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1848/1/012031 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25390.xml