|
|
论文:2018,Vol:36,Issue(6):1139-1144 |
|
|
引用本文： |
|
|
汤小春, 周佳文. 现代MRO系统的可扩展数据管理策略研究[J]. 西北工业大学学报 |
|
|
Tang Xiaochun, Zhou Jiawen. Better Big Data Store for Real-Time Processing of Modern MRO System Via Transaction Key Groups[J]. Northwestern polytechnical university |
|
|
|
|
|
|
|
| 现代MRO系统的可扩展数据管理策略研究 |
|
| 汤小春, 周佳文 |
|
| 西北工业大学 计算机学院, 陕西 西安 710072 |
| 摘要: |
| 现代MRO系统是对产品全生命周期中各种不同类型数据进行统一管理和存储的数据管理平台，既要具有海量存储的能力，亦需要具有可扩展性。而现存的MRO系统，要么只关注存储问题，要么只解决可扩展性问题。提出了一种二层数据管理模型，上层利用内存存储解决可扩展性，下层使用分布式键值存储（KV存储）达到海量存储的目的。通过在应用程序和KV存储系统之间添加键分组的中间层，使得实时处理所需要的键被组合起来缓存在一个节点上，既满足了实时应用的特性，又提高了动态可扩展性。首先给出了实时处理键组的数据模型，其次介绍实时处理键组的创建和删除协议，最后提出了支持实时处理键组的海量数据存储系统结构并对系统进行了评价，取得良好的效果。 |
| 关键词:
现代MRO系统
实时处理键组
海量数据存储
分布式计算
|
|
| Better Big Data Store for Real-Time Processing of Modern MRO System Via Transaction Key Groups |
|
| Tang Xiaochun, Zhou Jiawen |
|
| School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| Aim. MRO2 system is a data management platform. It has the ability to manage and store all kinds of data in the product's lifecycle, that is both the mass storage capacity and the scalability are required. For the existing big-data stores for MRO2 systemeither only focus on the storage problem, or only do the scalability issue. In this paper, a two-layer data management model is proposed, in which the top layer uses the memory storage for scalability and the bottom layer uses the distributed key-value storage for mass storage. By adding a middle layer of the key group between the application and the KV storage system, the keys for real-time processing are combined to cache in a node. It satisfies the characteristics of the real-time application and improves the dynamic scalability. The present protocol of the dynamic key groups for real-time distributed computation for MRO2 system is explained in detail. And then the protocol for creating and deleting key groups is introduced. The third topic is an implement of a big-data store for supporting MRO2 system. In this topic, the delay times for creating and deleting the dynamic transaction groups to estimation are used. Finally, the experiments to appraise the present method are done. The response time of the present method is quite efficient in comparison with the other methods to be used inbig data storage systems. |
| Key words:
modern MRO system
transaction key group
big data store
distributed computation
|
|
| 收稿日期: 2017-12-07
修回日期:
|
| DOI: |
| 基金项目: 国家科技支撑计划项目（2015BAF32B02-03）资助 |
| 通讯作者:
Email： |
| 作者简介: 汤小春(1969-),西北工业大学副教授,主要从事工业大数据处理、云计算研究。
|
|
|
|
|
|
|
|
参考文献: |
|
|
[1] 王建民,任艮全,张力,等. MRO支持技术研究[J]. 计算机集成制造系统, 2010, 16(10):2017-2025 Wang Jianmin, Ren Genquan, Zhang Li, et al. Maintenance Repair and Overshaul Operations support Technology[J]. Computer Integrated Manufacturing Systems, 2010, 16(10):2017-2025(in Chinese)
[2] Redding L E, Christopher J. Hockley, Roy R, et al. The Role of Maintenance, Repair, and Overhaul(MRO) Knowledge in Facilitating Service Design:A Nozzle Guide Vane Case Study[J]. Lecture Notes in Control & Information Sciencae, 2015, 20:379-395
[3] Ramudhin A, Paquet M, Artiba A, et al. A Generic Framework to Support the Secection of an RFID-Based Control System with Application to MRO Activites of an Aircraft Engine Manufacturer[J]. Production Planing & Contrd, 2008, 19(2):183-196
[4] 宋庭新,张甜,张一鸣,等. 基于精益MRO的海上风电场运行维护管理技术[J]. 计算机集成制造系统, 2017, 23(2):387-395 Song Tingxin, Zhang Tian, Zhang Yiming, et al. Technology of Operation and Maintenance for Offshore Wind Farm Based on Lean MRO Thinking[J]. Computer Integrated Manufacturing Systems, 2017, 23(2):387-395(in Chinese)
[5] Uhlmann E, Bilz M, Baumgarten J. MRO-Challenge and Chance for Sustainable Enterprises[J]. Procedia Cirp, 2013, 11:239-244
[6] Zhang Zhinan, Liu Gang, Jiang Zhichao, et al. A Cloud-Based Framework for Lean Maintenance, Repair, and Overhaul of Complex Equipment[J]. Journal of Manufacturing Science and Engineering, 2015, 137(4):11
[7] Lu Chenyang, Saifullah A, Li B, et al. Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems[J]. Proceedings of the IEEE, 2016, 104(5):1013-1024
[8] 刘增明. 物联网环境下的复杂装备闭环MRO服务研究与应用[D]. 杭州:浙江大学, 2017 Liu Zengming, Research and Application on Closed-Loop MRO Service for Complex Equipment under IOT[D]. Hangzhou, Zhejiang University, 2017(in Chinese)
[9] 胡迎新,马新娜,郑丽娟. 物联网数据管理研究[J]. 物联网技术,2014,4:79-82 Hu Yingxin, Ma Xinna, Zheng Lijuan. Research of Data Management in IOT[J]. Internet of Things Technologies, 2014, 4:79-82(in Chinese)
[10] 丁治明,高需. 面向物联网海量传感器采样数据管理的数据库集群系统框架[J]. 计算机学报,2012,35(6):1175-1191 Ding Zhiming, Gao Xu. A Databased Cluster System Framework for Managing Sensor Sampling Data in the Internet of Things[J]. Chinese Journal of Computers, 2012, 35(6):1175-1191(in Chinese)
[11] Baker J, Bond C, Corbett J C, et al. Megastore:Providing Scalable, Highly Available Storage for Interactive Services[C]//Proceedings of the Conference on Innovative Data System Research, 2011
[12] Ahn J S, Seo C, Mayuram R, et al. ForestDB:A Fast Key-Value Storage System for Variable-Length String Keys[J]. IEEE Trans on Computers, 2016, 65(3):902-915 |
|
|
|
|
|
|
|
