A Novel Lightweight Middleware for Distributed Massive PMU Data Mining

DOI

10.2991/ecae-17.2018.62How to use a DOI?

Keywords

PMU data; light-eight middlerware; sampling parallel mining; round robin allocation algorithm

Abstract

PMU data is facing with the problems of processing and application caused by the massive, distributed, multi-source, high redundancy existing in data. Therefore, this paper proposes a novel lightweight middleware to process and mine distributed massive PMU data. There employs light sampling parallel mining algorithm to deal with rules of data association, and proposes round robin algorithm to allocate computing tasks and data streams equally. Then the proposed middleware is applied in a multi-core computer. Test and comparison results from mining massive PMU data verify the feasibility and effectiveness of the proposed middleware technology in algorithm strategy and real-time requirement.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianbo Yi
AU  - Binbin Dong
AU  - Qi Huang
PY  - 2017/12
DA  - 2017/12
TI  - A Novel Lightweight Middleware for Distributed Massive PMU Data Mining
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 290
EP  - 294
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.62
DO  - 10.2991/ecae-17.2018.62
ID  - Yi2017/12
ER  -