Earticle

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

저자

• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605