Application of Load Balancing Technology Based on Dynamic Migration in Wide Area Measurement Data Storage

Allam Maalla
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Abstract

With the increasing number of technology, Wide area measurement plays an important role in real-time analysis of low frequency oscillation, transient stability control, voltage phase angle and amplitude measurement in modern smart grid. Wide area measurement has huge amount of data and how to store data is an important issue in wide area measurement. This paper presents the storage method of wide-area measurement data, studies the load distribution, adopts the Magician dynamic migration framework, which is developed based on Xen, and proposes the hierarchical copy algorithm and compression algorithm to optimize the mass data storage in wide-area measurement. Through the research, the problem of excessive data in wide-area measurement can be better solved, the reasonable storage of wide-area measurement data can be realized, and the role of wide-area measurement in smart grid can be better played.
基于动态迁移的负载均衡技术在广域测量数据存储中的应用
随着技术的不断增多,广域测量在现代智能电网的低频振荡实时分析、暂态稳定控制、电压相角和幅值测量等方面发挥着重要作用。广域测量数据量巨大,如何存储数据是广域测量中的一个重要问题。本文提出了广域测量数据的存储方法,研究了负载分布,采用基于Xen开发的魔法师动态迁移框架,提出了分层复制算法和压缩算法来优化广域测量中海量数据的存储。通过研究,可以更好地解决广域测量数据过多的问题,实现广域测量数据的合理存储,更好地发挥广域测量在智能电网中的作用。
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