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Research on the Performance Optimization of Hadoop in Big Data Environment

원문정보

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

저자정보

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

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