Earticle

초록

영어

In the age of Internet, the data transmission and storage got rapid progress, however, data processing and information extraction is still exist many problems to solve. Under the condition of so much data, processing data, get useful information; In cloud computing, big data environment to adopt the method of distributed computing, such a large complex networks, however, requires a simulation environment, for comparison and optimization platform, it can save development costs. Hadoop can evaluate the performance of distributed cloud computing platform, so the Hadoop performance directly affects the evaluation on the performance of the big data cloud computing, which fully show the importance of performance of Hadoop. Algorithm is improved based on Hadoop platform, using the particle swarm optimization algorithm improved the calculation and implementation of the Hadoop platform, so as to improve its ability to execute and compute, the calculation results and analysis show that the proposed scheme is effective.

목차

Abstract
 1. Introduction
 2. Related Researches
  2.1. The Components and Development of Hadoop
  2.2. The Study of the Status of Clustering Algorithm
 3. The Proposed Scheme
  3.1 Initialization Model
  3.2. The Plan of Standard Particle Swarm Optimization
  3.3. The Improved Particle Swarm Algorithm
  3.4. The Software Implementation of Hadoop
 4. Simulation Results
 5. Conclusions
 References

키워드

저자

• Jia Min-Zheng [ Department of Information Engineering, Beijing Polytechnic College, Beijing 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