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ZTE Communications ›› 2014, Vol. 12 ›› Issue (1): 52-56.DOI: 10.3969/j.issn.1673-5188.2014.01.008

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Design and Implementation of a Distributed Complex-Event Processing Engine

Ping Lu, Yuming Qian, Kezhi Zhu   

  1. Cloud Computing & IT Institute, ZTE Corporation, Nanjing 210012, China
  • 收稿日期:2013-08-10 出版日期:2014-03-25 发布日期:2014-03-25
  • 作者简介:Ping Lu (lu.ping@zte.com.cn) graduated from Southeast University, China. He heads the ZTE Cloud Computing & IT Institute and is in charge of R&D of service software, multimedia terminals, signaling detection, and ICT products. He is also responsible for researching new internet, cloud computing, and home network services. He led several national key research projects and has published 10 papers. He is a member of the China Computer Federation and CCF TCSC.
    Yuming Qian (qian.yuming@zte.com.cn) graduated from Southeast University, China. He is a chief engineer at ZTE Cloud Computing & IT Institute and is responsible for researching system architecture and new technologies for mass-data processing, cloud computing, and mobile internet. He has led several national key research projects and has published 16 papers. He was awarded the prestigious title Innovation & Entrepreneurship Talent of Jiangsu Province.
    Zhike Zhu (zhu.zhuke@zte.com.cn) graduated from Southeast University, China. He is a product manager at ZTE Cloud Computing & IT Institute and is responsible for R&D and management of mobile internet and mass-data processing products. He has a deep understanding of mass-data processing, search engines, parallel calculation, and mobile terminal management.

Design and Implementation of a Distributed Complex-Event Processing Engine

Ping Lu, Yuming Qian, Kezhi Zhu   

  1. Cloud Computing & IT Institute, ZTE Corporation, Nanjing 210012, China
  • Received:2013-08-10 Online:2014-03-25 Published:2014-03-25
  • About author:Ping Lu (lu.ping@zte.com.cn) graduated from Southeast University, China. He heads the ZTE Cloud Computing & IT Institute and is in charge of R&D of service software, multimedia terminals, signaling detection, and ICT products. He is also responsible for researching new internet, cloud computing, and home network services. He led several national key research projects and has published 10 papers. He is a member of the China Computer Federation and CCF TCSC.
    Yuming Qian (qian.yuming@zte.com.cn) graduated from Southeast University, China. He is a chief engineer at ZTE Cloud Computing & IT Institute and is responsible for researching system architecture and new technologies for mass-data processing, cloud computing, and mobile internet. He has led several national key research projects and has published 16 papers. He was awarded the prestigious title Innovation & Entrepreneurship Talent of Jiangsu Province.
    Zhike Zhu (zhu.zhuke@zte.com.cn) graduated from Southeast University, China. He is a product manager at ZTE Cloud Computing & IT Institute and is responsible for R&D and management of mobile internet and mass-data processing products. He has a deep understanding of mass-data processing, search engines, parallel calculation, and mobile terminal management.

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摘要： A high- performance, distributed, complex- event processing engine with improved scalability is proposed. In this new engine, the stateless processing node is combined with distributed storage so that scale and performance can be linearly expanded. This design prevents single node failure and makes the system highly reliable.

关键词: CEP, stream processing, M2M, sliding window, real-time processing

Abstract: A high- performance, distributed, complex- event processing engine with improved scalability is proposed. In this new engine, the stateless processing node is combined with distributed storage so that scale and performance can be linearly expanded. This design prevents single node failure and makes the system highly reliable.

Key words: CEP, stream processing, M2M, sliding window, real-time processing