| 基于Hadoop平台的作业调度算法研究 |
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| 引用本文： | 何颖.基于Hadoop平台的作业调度算法研究[J].贵州教育学院学报,2013(9):18-21. |
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| 作者姓名： | 何颖 |
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| 作者单位： | 贵州财经大学实验教学部,贵州贵阳550025 |
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| 摘 要： | 爆炸式增长的数据要求高效率地使用计算资源，Hadoop是解决大数据处理的一个方向，不过Ha-doop平台还处于发展中，很多地方还有待完善。对Hadoop自带的三种调度器的优缺点进行分析，针对希望区分和动态改变作业服务质量的情况提出了动态优先调度算法。实验结果表明动态优先调度算法能够在作业的运行中动态改变作业的优先级，在效率上也有所提升。
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| 关 键 词： | 云计算 Hadoop平台 作业调度 动态优先 |
Study on the job scheduling algorithm based on Hadoop Platform |
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| HE Ying.Study on the job scheduling algorithm based on Hadoop Platform[J].Journal of Guizhou Educational College(Social Science Edition),2013(9):18-21. |
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| Authors: | HE Ying |
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| Institution: | HE Ying ( Department of Experimental Teaching, Guizhou University of Finance and Economics, Guiyang, Guizhou, 550025) |
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| Abstract: | The explosive growth of data requires the efficient use of computing resources e. Hadoop, though very important for mass data processing, still needs to be improved. The advantages and disadvantages of the three sched- ulers of Hadoop are analyzed and, in view of the attempt to distinguish and dynamically improve the job service quali- ty, dynamic priority scheduling algorithm is proposed. The experimental results show that dynamic priority scheduling algorithm can dynamically change the priority of the job in its operation and improves its efficiency. |
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| Keywords: | cloud computing Hadoop platform job scheduling dynamic priority |
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