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- W2022671268 abstract "The commercial time-series database is suitable for processing the time-series data. However, a single commercial time-series database can only accommodate the time-series data acquired by limited amount of sensors. In this paper, in order to cope with the challenge of massive time-series data processing, we first propose a cloud time-series database framework based on commercial time-series databases, and then propose an effective consistent hashing based algorithm for solving the key problem, i.e., the data localization problem, in cloud time-series databases. A performance study shows the superiority of the framework and the algorithm for processing massive time-series data acquired by large amount of sensors." @default.
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- W2022671268 date "2013-08-01" @default.
- W2022671268 modified "2023-09-22" @default.
- W2022671268 title "Effective Data Localization Using Consistent Hashing in Cloud Time-Series Databases" @default.
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- W2022671268 doi "https://doi.org/10.4028/www.scientific.net/amm.347-350.2246" @default.
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