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题名Efficient instance reuse approach for service function chain placement in mobile edge computing
作者
发表日期2022-07-05
发表期刊Computer Networks
ISSN/eISSN1389-1286
卷号211
摘要

The combination of mobile edge computing and network function virtualization has led to the emergence of Virtualized Network Function (VNF) in a broader range of application scenarios. These latency-sensitive and highly dynamic services can be provided by combining multiple VNFs into Service Function Chains (SFCs). However, existing work has conspicuously neglected that online placing SFC with instance reuse can significantly improve resource utilization and save initialization time, which requires considering both the dynamic distribution of required VNFs over time and resource constraints on the edge network. In this paper, we initiate the study of Online SFC placement combined with Instance Reuse. An OSIR algorithm is proposed to gain a tradeoff between service costs and users’ quality of experience. The OSIR is designed based on deep reinforcement learning, which improves the system performance by maximizing the long-term cumulative reward. In OSIR, an SFC queue network is designed to extract the dynamic distribution of required VNFs over time, composed of memory space and the long short-term memory learning approach. The experimental results with real-world data traces show that OSIR can efficiently and effectively improve system performance and outperform the best result of all existing algorithms ranging from 17% to 26%.

关键词Instance reuse Mobile edge computing Service function chain
DOI10.1016/j.comnet.2022.109010
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收录类别SCIE
语种英语English
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000804648300011
Scopus入藏号2-s2.0-85129987019
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/9369
专题理工科技学院
通讯作者Zhang, Songli
作者单位
1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
2.BNU-UIC Institute of Artificial Intelligence and Future Networks Beijing Normal University (BNU Zhuhai), Guangdong, 519087, China
3.Key Lab of AI and Multi-Modal Data Processing, BNU-HKBU United International College, Zhuhai, Guangdong, 519087, China
4.Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, Guangdong, 518000, China
推荐引用方式
GB/T 7714
Zhang, Songli,Jia, Weijia,Tang, Zhiqinget al. Efficient instance reuse approach for service function chain placement in mobile edge computing[J]. Computer Networks, 2022, 211.
APA Zhang, Songli, Jia, Weijia, Tang, Zhiqing, Lou, Jiong, & Zhao, Wei. (2022). Efficient instance reuse approach for service function chain placement in mobile edge computing. Computer Networks, 211.
MLA Zhang, Songli,et al."Efficient instance reuse approach for service function chain placement in mobile edge computing". Computer Networks 211(2022).
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