Abstract: A data storage system includes a first storage layer, a second storage layer, an I/O manager, and a data organizer. The first storage layer utilizes a first type of data storage device. The first storage layer includes (i) a first data bucket that includes first data having a first data attribute, the first data bucket including a first data limit, and (ii) a second data bucket. The second storage layer utilizes a second type of data storage device. The I/O manager receives a data write request from the user and directs the data write request to the first storage layer. The data organizer (a) determines whether data in the data write request has the first data attribute; and (b) stores the data in the data write request in at least one of the first data bucket and the second data bucket if the data in the data write request has the first data attribute.

Abstract: Systems and methods for mapping random data writes to sequential or semi-sequential storage. Data writes may be initially directed to an SSD or other relatively low latency and high IOPS data storage layer. The data may remain in the SSD storage layer until a group of data may be written, together, to a sequential or semi-sequential storage layer. A data organizer may group the data into data buckets based on tags and/or policies associated with the data. In this way, data subject to similar lifetime, priority, data protection, and/or other policies may be stored on a same segment or other portion of the sequential storage layer. Similarly, data having similar access patterns, authors, files, objects, or project affiliations, may be stored together on a same segment of the sequential storage layer.

Abstract: Systems and methods for data management using tagging rules and/or policies. The systems and methods described herein may allow users or administrators to easily label data, so as to organize the data in using any suitable terminology or parameters. Tagging rules (or tag rules) may apply or assign one or more tags to a data file or object. A tag may relate to various components of the data file or object. For example, a tag may relate to a creation date, author, size, or information within the data, such as whether the file or object includes a picture. Once the data is associated with one or more tags, policies may determine how the data is manipulated, stored, accessed, or otherwise used. Policies may relate to actions or operations to be performed with respect to data having one or more particular tags.

Abstract: Systems and methods for data management using tagging rules and/or policies. The systems and methods described herein may allow users or administrators to easily label data, so as to organize the data in using any suitable terminology or parameters. Tagging rules (or tag rules) may apply or assign one or more tags to a data file or object. A tag may relate to various components of the data file or object. For example, a tag may relate to a creation date, author, size, or information within the data, such as whether the file or object includes a picture. Once the data is associated with one or more tags, policies may determine how the data is manipulated, stored, accessed, or otherwise used. Policies may relate to actions or operations to be performed with respect to data having one or more particular tags.

Abstract: Systems and methods for mapping random data writes to sequential or semi-sequential storage. Data writes may be initially directed to an SSD or other relatively low latency and high IOPS data storage layer. The data may remain in the SSD storage layer until a group of data may be written, together, to a sequential or semi-sequential storage layer. A data organizer may group the data into data buckets based on tags and/or policies associated with the data. In this way, data subject to similar lifetime, priority, data protection, and/or other policies may be stored on a same segment or other portion of the sequential storage layer. Similarly, data having similar access patterns, authors, files, objects, or project affiliations, may be stored together on a same segment of the sequential storage layer.

Abstract: Systems and methods for mapping random data writes to sequential or semi-sequential storage. Data writes may be initially directed to an SSD or other relatively low latency and high IOPS data storage layer. The data may remain in the SSD storage layer until a group of data may be written, together, to a sequential or semi-sequential storage layer. A data organizer may group the data into data buckets based on tags and/or policies associated with the data. In this way, data subject to similar lifetime, priority, data protection, and/or other policies may be stored on a same segment or other portion of the sequential storage layer. Similarly, data having similar access patterns, authors, files, objects, or project affiliations, may be stored together on a same segment of the sequential storage layer.

Abstract: Systems and methods for data management using tagging rules and/or policies. The systems and methods described herein may allow users or administrators to easily label data, so as to organize the data in using any suitable terminology or parameters. Tagging rules (or tag rules) may apply or assign one or more tags to a data file or object. A tag may relate to various components of the data file or object. For example, a tag may relate to a creation date, author, size, or information within the data, such as whether the file or object includes a picture. Once the data is associated with one or more tags, policies may determine how the data is manipulated, stored, accessed, or otherwise used. Policies may relate to actions or operations to be performed with respect to data having one or more particular tags.