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논문검색

Automatic Data Distribution in Large-scale OLTP Applications

원문정보

Xiaoyan Wang, Xu Fan, Jinchuan Chen, Xiaoyong Du

보안공학연구지원센터(IJDTA) International Journal of Database Theory and Application Vol.7 No.4 2014.08 pp.37-46
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

With the dramatic increase of data volume, automatic data distribution has been one of the key techniques and intractable problem for distributed systems. This work summarizes the problem of data distribution and abstracts it as a general triangle model called DaWN. Based on data and workload analysis, it presents a novel strategy called ADDS for automatic data distribution in OLTP applications. According to the results of a series of experiments over TPC-C datasets and transactions, the proposed approach shows effective improvements.

목차

Abstract
 1. Introduction
 2. Problem Description
 3. An Automatic Data Distribution Solution
  3.1. Solution Overview
  3.2. Data Partitioning
  3.3. Data Placement
 4. Experiment Analysis
  4.1. Environment and Configuration
  4.2. Experiment Results and Analysis
 5. Related Works
 6. Conclusion
 Acknowledgements
 References

키워드

저자정보

  • Xiaoyan Wang Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing, 100872, China, School of Information and Electrical Engineering, Ludong University, Yantai, 264025, China, School of Information, Renmin University of China, Beijing, 100872, China
  • Xu Fan Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing, 100872, China, School of Information, Renmin University of China, Beijing, 100872, China
  • Jinchuan Chen Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing, 100872, China
  • Xiaoyong Du Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing, 100872, China, School of Information, Renmin University of China, Beijing, 100872, China

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