Earticle

초록

영어

Cassandra database system is one of the universal databases. To achieve high performance, we should allocate memory space rationally according to actual demands. Otherwise, it will influence reading and writing performance. Actually, we always allocate memory space according to experience and repeated attempts which usually won’t give us the best answer. To solve this problem, firstly we analyze the reading and writing processing of the Cassandra database and find out the corresponding memory space which will influence system performance. Secondly, we build up a relationship model between system performance and memory allocation and name it as The Memory Model of Reading and Writing Performance. We have already applied the relationship model to real database servers to guide memory allocation and performance evaluation. Simulation results show that this memory model could well describe the quantization relationship of memory space and system performance.

목차

Abstract
 1. Introduction
 2. Process Analysis of Cassandra Database
  2.1. Analysis of Data Process
  2.2. Analysis of Writing Process
  2.3. Analysis of Reading Process
 3. Method and Model
  3.1. Preliminary Test and Analysis
  3.2. Reading and Writing Model In Infinite Memory Space
 4. Memory Allocation Model in Practical Condition
 5. Conclusions
 References

키워드

저자

• Bo-Qian Wang [ National University of Defense Technology, Changsha, Hunan ]
• Qi Yu [ National University of Defense Technology, Changsha, Hunan ]
• Xin Liu [ National University of Defense Technology, Changsha, Hunan ]
• Li Shen [ National University of Defense Technology, Changsha, Hunan ]
• Zhi-ying Wang [ National University of Defense Technology, Changsha, Hunan ]

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