Paper
27 September 2024 Optimization algorithm for cloud resource scheduling based on auction mechanism
Shiyu Li, Gongxuan Zhang, Yongke Li
Author Affiliations +
Proceedings Volume 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024); 132810P (2024) https://doi.org/10.1117/12.3050759
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning, 2024, Zhengzhou, China
Abstract
With the increasing variety of cloud platforms and the rising demand for cloud resources, how cloud providers allocate their cloud resources has gradually become a trouble some issue. At the same time, under the existing cloud resource allocation strategy, the interests of cloud resource users have not been given much attention, which will lead to the emergence of SLF penalties, a lose-lose outcome. This article addresses the aforementioned issues through an optimization algorithm based on auction mechanisms, which aims to maximize the interests of both parties during the allocation of cloud resources to ensure a win-win outcome. At the same time, decision factors are proposed during the allocation process to ensure the timely completion of user tasks, thereby minimizing the generation of penalties.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shiyu Li, Gongxuan Zhang, and Yongke Li "Optimization algorithm for cloud resource scheduling based on auction mechanism", Proc. SPIE 13281, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2024), 132810P (27 September 2024); https://doi.org/10.1117/12.3050759
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clouds

Mathematical optimization

Cloud computing

Ice

Computer simulations

Lithium

Chromium

Back to Top