Fault-tolerant flexible lossless cluster compression method for monitoring data in smart grid. (8th November 2019)

• Record Type: Journal Article
• Authors: Qu, Zhijian; Wang, Hanlin; Peng, Xiang; Chen, Ge
• Is Part Of: International journal of high performance computing and networking. Volume 15:Number 1/2(2019)
• Page Start: 31
• Page End: 44
• Publication Date: 2019-11-08
• Subjects: cloud computing -- smart grid -- cluster lossless compression -- fault-tolerant; High performance computing -- Periodicals; Computer networks -- Periodicals; High performance computing; Periodicals; 004.05
• Languages: English
• ISSNs: 1740-0562

Abstract

Big data in smart grid dispatch monitoring systems is susceptible to interference from processing delays and slow response times. Hence, a new fault-tolerant flexible lossless cluster compression method is proposed. This paper presents the Five-tuples (S, D, O, T, M) model, and builds a monitoring data processing platform based on hive. By deploying the dispatch host and monitoring servers under the cloud computing environment, where data nodes are respectively transformed by Deflate, Gzip, BZip2 and LZO lossless compression method. Taking the power dispatch automation system of Long-hai line as example, experimental results show that the cluster lossless compression ratio of BZip2 is greater than 81%; when data records reach twelve million, the compression ratio can be further improved to certain extent by using RCFile storage hive format, which has significant flexible features. Therefore, the new method proposed in this paper can improve the flexibility and fault-tolerant ability of big monitoring data processing in smart grid.