ZTE Communications ›› 2010, Vol. 8 ›› Issue (4): 45-48.

• Development Field • Previous Articles     Next Articles

A Distributed In-Memory Database Solution for Mass Data Applications

Dong Hao, Luo Shengmei, Zhang Hengsheng   

  1. Communication Service R&D Institute, ZTE Corporation, Nanjing 210012, P. R. China
  • Online:2010-12-25 Published:2020-02-28
  • About author:Dong Hao received his doctoral degree in automatic control theory and engineering from the Southeast University, China. He joined ZTE in May 2005, and is a pre-research engineer and senior architect. His research interests include value added services, cloud computing, and service standardization.

    Luo Shengmei graduated from Harbin Institute of Technology, China in 1996, majoring in Communications and Electronic Information. He is a chief engineer and architect of ZTE Corporation. He is also a member of the China Cloud Computing Committee, and heads pre-research into new technologies. He was awarded the second prize of scientific and technological progress, with several invention patents. He has published a number of academic papers in the national core communication journals.

    Zhang Hengsheng received his bachelor’s degree from Anhui University, China. He joined ZTE in 2005, and is a pre-research engineer and senior architect. His research interests include value added services and cloud computing.

Abstract: In this paper, a Distributed In-Memory Database (DIMDB) system is proposed to improve processing efficiency in mass data applications. The system uses an enhanced language similar to Structured Query Language (SQL) with a key-value storage schema. The design goals of the DIMDB system is described and its system architecture is discussed. Operation flow and the enhanced SQL-like language are also discussed, and experimental results are used to test the validity of the system.

Key words: distributed in-memory system, enhanced key-value schema, mass data application