A hierarchical particle swarm optimisation algorithm for cloud computing environment
by Yen-Wu Ti; Shang-Kuan Chen; Wen-Cheng Wang
International Journal of Information and Computer Security (IJICS), Vol. 18, No. 1/2, 2022

Abstract: Production scheduling and vehicle routing are integrated to solve a task scheduling problem with a timing requirement in cloud computing. The issues of multiple compute resources for a lot of tasks are considered. In the tasks scheduling problem, each task is generally defined by the dependent data preparation time and compute time, and the communication time and time window for computing. A hierarchical particle swarm optimisation algorithm is proposed to solve the surgery scheduling problem and achieve a minimum delay.

Online publication date: Tue, 17-May-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Computer Security (IJICS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com