Abstract
AbstractA steady usage growth of various smart meters/sensors types comes along with the development of Smart Grid. Due to that smart meters/sensors usually produce data continuously, the state-of-the-art storage architecture will no longer be sustainable under such a dramatic data increase circumstance. It is crucial that these data shall be stored for both short and long term analysis to seek valuable information. This paper proposed a scalable and distributed storage architecture for time series data, and further substantiated the proposed storage framework on a proof-of-concept testbed using a cluster of low-cost and credit-card-sized single-board computers. We evaluated the proposed distributed storage framework and proof-of-concept testbed with a comprehensive set of performance measures. Results showed that low-cost hardware and open source technologies could be utilized for large-scale time series data storage.
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