Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing

doi:10.1109/ACCESS.2019.2956632

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing
	Yang, Rui 1,2; Zhang, Jilin 1,2,3; Wan, Jian 1,2,4; Zhou, Li 1,2; Shen, Jing 1,2; Zhang, Yunchen 1,2; Wei, Zhenguo 5; Zhang, Juncong 5; Wang, Jue 6
刊名	IEEE ACCESS
	2019
卷号	7 页码:171884-171897
关键词	Mobile computing security monitoring distributed machine learning limited synchronous parallel model parameter server
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2956632
英文摘要	With the application of mobile computing in the security field, security monitoring big data has also begun to emerge, providing favorable support for smart city construction and city-scale and investment expansion. Mobile computing takes full advantage of the computing power and communication capabilities of various sensing devices and uses these devices to form a computing cluster. When using such clusters for training of distributed machine learning models, the load imbalance and network transmission delay result in low efficiency of model training. Therefore, this paper proposes a distributed machine learning parameter communication consistency model based on the parameter server idea, which is called the limited synchronous parallel model. The model is based on the fault-tolerant characteristics of the machine learning algorithm, and it dynamically limits the size of the synchronization barrier of the parameter server, reduces the synchronization communication overhead, and ensures the accuracy of the model training; thus, the model realizes finite asynchronous calculation between the worker nodes and gives full play to the overall performance of the cluster. The implementation of cluster dynamic load balancing experiments shows that the model can fully utilize the cluster performance during the training of distributed machine learning models to ensure the accuracy of the model and improve the training speed.
资助项目	National Key Technology Research and Development Program[2018YFB0204001] ; National Natural Science Foundation of China[61672200] ; National Natural Science Foundation of China[61572163] ; Key Technology Research and Development Program of the Zhejiang Province[2019C03135] ; Zhejiang Natural Science Funds[LY17F020029] ; Zhejiang Natural Science Funds[LY16F020018] ; State Key Laboratory of Computer Architecture[CARCH201712] ; Hangzhou Dianzi University Postgraduate Research Innovation Fund Program[CXJJ2018052]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000509374200041
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/14722]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Jilin; Zhou, Li
作者单位	1.Hangzhou Dianzi Univ, Sch Comp Sci & Technol, Hangzhou 310018, Peoples R China 2.Hangzhou Dianzi Univ, Minist Educ, Key Lab Complex Syst Modeling & Simulat, Hangzhou 310018, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 4.Zhejiang Univ Sci & Technol, Sch Informat & Elect Engn, Hangzhou 310023, Peoples R China 5.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China 6.Zhejiang Dawning Informat Technol Co Ltd, Hangzhou 310051, Peoples R China
推荐引用方式 GB/T 7714	Yang, Rui,Zhang, Jilin,Wan, Jian,et al. Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing[J]. IEEE ACCESS,2019,7:171884-171897.
APA	Yang, Rui.,Zhang, Jilin.,Wan, Jian.,Zhou, Li.,Shen, Jing.,...&Wang, Jue.(2019).Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing.IEEE ACCESS,7,171884-171897.
MLA	Yang, Rui,et al."Parameter Communication Consistency Model for Large-Scale Security Monitoring Based on Mobile Computing".IEEE ACCESS 7(2019):171884-171897.