Policy-Based Reinforcement Learning for Online Container Scheduling in Meta Computing

doi:10.1109/ICMC60390.2024.00040

科研成果详情

题名	Policy-Based Reinforcement Learning for Online Container Scheduling in Meta Computing
作者	Wu，Jianqiu 2; Guo，Jianxiong 1,2; Tang，Zhiqing 1; Meng，Tianhui 1; Jia，Weijia 1,2
发表日期	2024
会议名称	1st IEEE International Conference on Meta Computing, ICMC 2024
会议录名称	Proceedings - 2024 International Conference on Meta Computing, ICMC 2024
页码	300-309
会议日期	2024-06-20——2024-06-23
会议地点	Qingdao
摘要	Meta computing is a novel computing paradigm that harnesses the collective computing resources of the Internet, offering efficient, fault-tolerant, and personalized services while ensuring strong security and privacy. Nevertheless, overcoming the existing barriers to integrating network-wide computing power and unifying the entire network's computational resources remains a formidable challenge. Containers have gained significant popularity as a virtualization solution, holding promise in addressing the challenges presented by how to efficiently utilize resources in meta computing. Existing research has shown that task scheduling at the granularity of containers can substantially reduce the completion delay and resource consumption, making it more suitable for meeting real-time requirements. To minimize both the total task time and energy costs, we introduce an online container scheduling algorithm tailored for a small-scale meta computing framework, which formulates the online container scheduling problem to optimize the overall task utility. We adopt a policy gradient-based Reinforcement Learning (RL) algorithm that accounts for the unique characteristics of meta computing and expects to get a good performance. Experimental results validate that our RL-based algorithm outperforms other commonly used baseline algorithms.
关键词	Computational Resources Container Scheduling Meta Computing Optimization Reinforcement Learning
DOI	10.1109/ICMC60390.2024.00040
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-105012226439
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/13747
专题	北师香港浸会大学
通讯作者	Guo，Jianxiong
作者单位	1.Advanced Institute of Natural Sciences,Beijing Normal University,Zhuhai,519087,China 2.BNU-HKBU United International College,Guangdong Key Lab of AI and Multi-Modal Data Processing,Department of Computer Science,Zhuhai,519087,China
第一作者单位	北师香港浸会大学
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Wu，Jianqiu,Guo，Jianxiong,Tang，Zhiqinget al. Policy-Based Reinforcement Learning for Online Container Scheduling in Meta Computing[C], 2024: 300-309.