WANG Chunkai,ZHUANG Fuzhen,SHI Zhongzhi.System resource allocation for variable data streams[J].CAAI Transactions on Intelligent Systems,2019,14(06):1278-1285.[doi:10.11992/tis.201908011]





System resource allocation for variable data streams
王春凯12 庄福振2 史忠植2
1. 中国再保险(集团)股份有限公司 博士后科研工作站, 北京 100033;
2. 中国科学院 计算技术研究所, 北京 100190
WANG Chunkai12 ZHUANG Fuzhen2 SHI Zhongzhi2
1. Post-doctoral Research Center, China Reinsurance (Group) Corporation, Beijing 100033, China;
2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
large-scale data stream management systemvariable data streamincremental learningmodel predictionparameter configurationmini-batch processingsystem performanceoutlier detection
A large-scale data stream management system (LSDSMS) usually contains a relational query system (RQS) and a stream processing system (SPS). When users submit queries to the RQS, it is often necessary to set system parameters according to the rate and distribution of the data streams. However, because of the variability of data streams, changing the resource allocation often reduces the performance of the LSDSMS. In view this problem, we propose a framework for automating the characterization deployment in the LSDSMS OrientStream+. First, based on a user-defined query latency threshold, we designed a data stream transmission mechanism for a mini-batch scheme. Then, we introduced a multi-level pipeline cache for processing batch data streams in the same configuration and obtained accurate query results using the timestamp of the data streams. We also propose an incremental leaning technique with outlier detection to improve the prediction accuracy of OrientStream+. Finally, we validated the proposed approach on the open-source SPS–Storm. Our experimental results show that OrientStream+ can reduce processing latency and improve the LSDSMS throughput.


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作者简介:王春凯,男,1981年生,博士后,主要研究方向为数据流管理、知识融合。曾主持和参与中国博士后科学基金项目、国家重点研发计划项目、国家自然科学基金项目以及其他横向课题的研究。发表学术论文10余篇;庄福振,男,1983年生,副研究员。主要研究方向为迁移学习、数据挖掘、机器学习。曾主持和参与国家重点研发计划项目、国家"863 "计划项目、" 973"子课题、国家自然科学基金项目以及其他横向课题的研究。发表学术论文40余篇;史忠植,男,1941年生,研究员。主要研究方向为智能科学、人工智能、机器学习、知识工程等。1979年、1998年、2001年均获中国科学院科技进步二等奖,1994年获中国科学院科技进步特等奖,2002年获国家科技进步二等奖。发表学术论文400余篇,出版专著5部
更新日期/Last Update: 2019-12-25