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- W3049026482 abstract "Growing ubiquity of radio frequency identification (RFID) and wireless sensors devices has provided the Internet of things (IoT) with a new promising avenue to build powerful applications and industrial applications. Common physical objects can be connected to the Internet world using the RFID and can enable monitoring by a single system. Storing and processing the data in the cloud platform has become a major challenge in such a system. IoT data has three traditional properties of volume, variety and velocity. Hence to address these challenges in the IoT framework, this paper puts forward a storage framework for IoT data that enables efficient storage of huge and substantial IoT data integrating the structured as well as non-structured data. The proposed framework can combine multiple databases and is extendable to Hadoop to store multiple varieties of data collected by RFID readers and sensors. Some components in the framework are further tested to process huge amount of data using a distributed file repository which can handle massive unstructured files efficiently. Further, a prototype is also developed to prove the proposed framework’s effectiveness." @default.
- W3049026482 created "2020-08-21" @default.
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- W3049026482 date "2020-08-14" @default.
- W3049026482 modified "2023-10-02" @default.
- W3049026482 title "IoT-Based Data Storage for Cloud Computing Applications" @default.
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- W3049026482 doi "https://doi.org/10.1007/978-981-15-3514-7_109" @default.
- W3049026482 hasPublicationYear "2020" @default.
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