Volume 36, Number 6, December 2018
|Page(s)||1139 - 1144|
|Published online||12 March 2019|
Better Big Data Store for Real-Time Processing of Modern MRO System Via Transaction Key Groups
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
关键字 : 现代MRO系统 / 实时处理键组 / 海量数据存储 / 分布式计算
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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