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(EDGE 2020) Edge Storage Solution Based on Computational Object Storage

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Abstract: Emerging computing/storage architecture provides new opportunities and requirements for multimedia data storage, especially at the edge (close to where the data is captured). Computational storage, defined as an architecture that conducts data processing at the storage layer so as to offload host processing or reduce data movement, allows raw data to be analyzed as the data are stored. As a consequence, the data to be stored may intrinsically carry richer metadata. Meanwhile object storage is a data storage architecture that organizes data into flexible-sized data containers, named objects. Combining object and computational storage, this paper described an edge data storage platform built on a representative computational object storage with content indexed object keys. The platform provides both computing and storage scalability for Edge applications while concurrently managing the richer metadata generated in a structured way to promote future information retrieval. Using video data as a sample use case, the concept of object key design is illustrated.

Authors: Lijuan Zhong (Seagate Technology, USA)

Email: lijuan.zhong@seagate.com

Who can view: Everyone
Webinar Price: Free
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Dr. Lijuan Zhong is a development engineer working in the research organization of Seagate Technology, a company providing
modern data storage solutions. She specializes in developing high performance AI/ML architecture, data storage and
computing solutions for multisensor systems, often with constrained resources.
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