Management of cloud-based shared content using predictive cost modeling

    公开(公告)号:US11223528B2

    公开(公告)日:2022-01-11

    申请号:US15418566

    申请日:2017-01-27

    Applicant: Box, Inc.

    Abstract: Systems and methods for managing content in a cloud-based service platform. A method embodiment operates over storage content objects stored in storage devices in a cloud-based shared content management system. The method commences upon identifying a source object and identifying derivative objects that are generated based properties of the source object. After a time, candidate eviction objects are identified. One form of analysis is performed over source objects and another form of analysis is performed over derivative objects. Derivative objects are classified using the analysis, which classification is used to determine object management commands associated with the derivative object such as to remove the derivative object from one storage location (e.g., in a high-performance storage filer) and relocate it to another (e.g., lower cost) storage location. Based on the analysis, a derivative object might be deleted completely and then regenerated at a later time if/when needed.

    MANAGEMENT OF CLOUD-BASED SHARED CONTENT USING PREDICTIVE COST MODELING

    公开(公告)号:US20180219737A1

    公开(公告)日:2018-08-02

    申请号:US15418566

    申请日:2017-01-27

    Applicant: Box, Inc.

    Abstract: Systems and methods for managing content in a cloud-based service platform. A method embodiment operates over storage content objects stored in storage devices in a cloud-based shared content management system. The method commences upon identifying a source object and identifying derivative objects that are generated based properties of the source object. After a time, candidate eviction objects are identified. One form of analysis is performed over source objects and another form of analysis is performed over derivative objects. Derivative objects are classified using the analysis, which classification is used to determine object management commands associated with the derivative object such as to remove the derivative object from one storage location (e.g., in a high-performance storage filer) and relocate it to another (e.g., lower cost) storage location. Based on the analysis, a derivative object might be deleted completely and then regenerated at a later time if/when needed.

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