计算机工程2012，Vol.38Issue(11)：186-188,195,4.DOI:10.3969/j.issn.1000-3428.2012.11.057
基于混沌PSO算法的Hadoop配置优化
Configuration Optimization of Hadoop Based on Chaos PSO Algorithm
摘要
Abstract
Hadoop configuration is a NP-hard combinatorial optimization problem. Aiming at the configuration problem, a configuration optimization strategy is proposed. To ensure that the algorithm not only can search in the local, but also can avoid failing into local optimum, it selects different criteria values and different iteration times to do experiment, so as to search out the values making Hadoop performance optimal. Experimental results show that optimal configuration derived from the algorithm can effectively improve the performance of Hadoop, and has good stability.关键词
Hadoop平台/分布式系统/配置方案/性能优化/粒子群优化算法/混沌算法Key words
Hadoop platform/ distributed system/ configuration scheme/ performance optimization/ Particle Swarm Optimization(PSO) algorithm/ chaos algorithm分类
信息技术与安全科学引用本文复制引用
柳香,李俊红,段胜业..基于混沌PSO算法的Hadoop配置优化[J].计算机工程,2012,38(11):186-188,195,4.基金项目
国家自然科学基金资助项目(10926719) （10926719）
河北师范大学基金资助项目(L2009Y01) （L2009Y01）
