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公开(公告)号：US20210240372A1
公开(公告)日：2021-08-05
申请号：US16839605
申请日：2020-04-03
Applicant: Dropbox, Inc.
Inventor： Michael Loh , Daniel R. Horn , Andraz Kavalar , David Lichtenberg , Austin Sung , Shi Feng , Jongmin Baek
Abstract: Systems and methods for dynamic and automatic data storage scheme switching in a distributed data storage system. A machine learning-based policy for computing probable future content item access patterns based on historical content item access patterns is employed to dynamically and automatically switch the storage of content items (e.g., files, digital data, photos, text, audio, video, streaming content, cloud documents, etc.) between different data storage schemes. The different data storage schemes may have different data storage cost and different data access cost characteristics. For example, the different data storage schemes may encompass different types of data storage devices, different data compression schemes, and/or different data redundancy schemes.
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公开(公告)号：US11422721B2
公开(公告)日：2022-08-23
申请号：US16839605
申请日：2020-04-03
Applicant: Dropbox, Inc.
Inventor： Michael Loh , Daniel R. Horn , Andraz Kavalar , David Lichtenberg , Austin Sung , Shi Feng , Jongmin Baek
Abstract: Systems and methods for dynamic and automatic data storage scheme switching in a distributed data storage system. A machine learning-based policy for computing probable future content item access patterns based on historical content item access patterns is employed to dynamically and automatically switch the storage of content items (e.g., files, digital data, photos, text, audio, video, streaming content, cloud documents, etc.) between different data storage schemes. The different data storage schemes may have different data storage cost and different data access cost characteristics. For example, the different data storage schemes may encompass different types of data storage devices, different data compression schemes, and/or different data redundancy schemes.
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