基于Storm平台的数据迁移合并节能策略

蒲勇霖; 于炯; 鲁亮; 李梓杨; 卞琛; 廖彬

doi:10.11959/j.issn.1000-436x.2019226

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基于Storm平台的数据迁移合并节能策略

学术论文 | 更新时间：2024-06-05

- 基于Storm平台的数据迁移合并节能策略
- Energy-efficient strategy for data migration and merging in Storm
- 通信学报 2019年40卷第12期页码：68-85
- 作者机构：
  
  1. 新疆大学信息科学与工程学院，新疆乌鲁木齐 830046
  2. 中国民航大学计算机科学与技术学院，天津 300300
  3. 广东金融学院互联网金融与信息工程学院，广东广州 510521
  4. 新疆财经大学统计与信息学院，新疆乌鲁木齐 830012
- 作者简介：
  
  [ "蒲勇霖（1991- ），男，山东淄博人，新疆大学博士生，主要研究方向为流式计算、绿色计算、内存计算等" ]
  [ "于炯（1964- ），男，新疆乌鲁木齐人，博士，新疆大学教授、博士生导师，主要研究方向为并行计算、分布式系统、绿色计算等" ]
  [ "鲁亮（1990- ），男，天津人，博士，中国民航大学讲师，主要研究方向为分布式系统、内存计算、绿色计算" ]
  [ "李梓杨（1993- ），男，新疆乌鲁木齐人，新疆大学博士生，主要研究方向为流式计算、内存计算等" ]
  [ "卞琛（1981- ），男，江苏南京人，博士，广东金融学院副教授，主要研究方向为分布式系统、内存计算、绿色计算等" ]
  [ "廖彬（1986- ），男，新疆乌鲁木齐人，博士，新疆财经大学副教授、硕士生导师，主要研究方向为分布式系统、数据库理论与技术、绿色计算等" ]
- 基金信息：
  
  国家自然科学基金资助项目(61862060);国家自然科学基金资助项目(61462079);国家自然科学基金资助项目(61562086);国家自然科学基金资助项目(61562078);新疆维吾尔自治区研究生科研创新项目(XJGRI2016028);新疆大学博士生科技创新基金资助项目(XJUBSCX-201902)
- DOI：10.11959/j.issn.1000-436x.2019226
  中图分类号： TP311
- 网络首发：2019-12，
  
  纸质出版：2019-12-25
- 稿件说明：
移动端阅览
蒲勇霖, 于炯, 鲁亮, 等. 基于Storm平台的数据迁移合并节能策略[J]. 通信学报, 2019,40(12):68-85.

Yonglin PU, Jiong YU, Liang LU, et al. Energy-efficient strategy for data migration and merging in Storm[J]. Journal on Communications, 2019, 40(12): 68-85.
蒲勇霖, 于炯, 鲁亮, 等. 基于Storm平台的数据迁移合并节能策略[J]. 通信学报, 2019,40(12):68-85. DOI： 10.11959/j.issn.1000-436x.2019226.

Yonglin PU, Jiong YU, Liang LU, et al. Energy-efficient strategy for data migration and merging in Storm[J]. Journal on Communications, 2019, 40(12): 68-85. DOI： 10.11959/j.issn.1000-436x.2019226.

摘要

针对Storm存在低效率、高能耗的问题，通过分析Storm平台的基本框架与拓扑结构，设计了资源约束模型、最优线程数据重组原则和节点降压原则，并在此基础上提出了基于 Storm 平台的数据迁移合并节能策略（DMM-Storm），包括资源约束算法、数据迁移合并算法和节点降压算法。其中资源约束算法根据资源约束模型，判断工作节点是否允许数据的迁移；数据迁移合并算法根据最优线程数据重组原则，设计了最优的线程数据迁移方法；节点降压算法根据节点降压限制条件，降低了工作节点的电压。实验结果表明，与现有的节能策略相比，执行DMM-Storm在不影响集群性能的前提下，有效降低了能耗。

Abstract

Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem

the resource constraint model

the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the analysis of the architecture and topology of Storm

and further the energy-efficient strategy for data migration and merging was put forward in Storm(DMM-Storm)

which was composed of resource constraint algorithm

data migration and merging algorithm as well as node voltage reduction algorithm.The resource constraint algorithm estimates whether work nodes are appropriate for data migration according to the resource constraint model.The data migration and merging algorithm designs an optimal method to migrate data according to the the optimal principle of data reorganization in executors.The node voltage reduction algorithm reduces voltage of work nodes according to node voltage reduction principle.The experimental results show that the DMM-Storm can reduce energy consumption efficiently without affecting the performance of cluster compared with the existing researches.

关键词

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references

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