PROGRAMMATICALLY CHOOSING PREFERRED STORAGE PARAMETERS FOR FILES IN LARGE-SCALE DISTRIBUTED STORAGE SYSTEMS

    公开(公告)号:US20190286615A1

    公开(公告)日:2019-09-19

    申请号:US16434376

    申请日:2019-06-07

    Applicant: Google LLC

    Abstract: A method includes receiving trace data representing access information about files stored in a large-scale distributed storage system, identifying file access patterns based on the trace data, receiving metadata information associated with the files stored in the large-scale distributed storage system, and generating a preferred storage parameter for each file based on the received metadata information and the identified file access patterns. The method also includes receiving, file reliability or accessibility information of a new file, determining whether the received file reliability or accessibility information of the new file matches information of a file group of the files in the large-scale distributed storage system, and when the file reliability or accessibility information of the new file matches the information of the file group, storing the new file in the large-scale distributed storage system using the preferred storage parameter associated with the file group.

    Optimal Admission Control For Caches

    公开(公告)号:US20210390104A1

    公开(公告)日:2021-12-16

    申请号:US16899180

    申请日:2020-06-11

    Applicant: Google LLC

    Abstract: The technology is directed to cache admission control. One or more processors may categorize access requests for data items in a cache storage into a plurality of categories and collect information on the access requests over time. Based on the collected information, a utility value for caching data items in each category of the plurality of categories may be determined. Newly requested data items may be admitted into the cache storage in an order according to the corresponding utility values of their respective categories.

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