FAST RECOVERY IN RECOVERPOINT USING DIRECT STORAGE ACCESS

    公开(公告)号:US20210303161A1

    公开(公告)日:2021-09-30

    申请号:US16834022

    申请日:2020-03-30

    Abstract: Data protection operations based on direct storage access. Data protection operations that involve large data transfers are optimized or improved by transferring the data using a communication path that includes direct access to disks of a storage array. This avoids latencies associated with transferring data through the layers of the storage array. The locations of the data to be transferred are identified and provided to an appliance. The appliance can then read and transfer the data over a communication path that includes direct disk access.

    RESCUE PACKAGE FOR UNCONTROLLABLE SPLITTERS

    公开(公告)号:US20210271574A1

    公开(公告)日:2021-09-02

    申请号:US16802795

    申请日:2020-02-27

    Abstract: A data protection system configured to replicate data may generate rescue packages that allow the system to recover when communication between a splitter or source of the production data being replicated and an appliance that stores the replicated data is disrupted. The rescue package is stored on a datastore and is then retrieved by the data protection system or another splitter. After processing the rescue package, which may contain IOs that the data protection is unaware of due to the communication disruption, replication may resume normally.

    USING ANY-PIT BACKUPS FOR RETROACTIVE BACKUP COMPLIANCE AND HARDENING

    公开(公告)号:US20210247904A1

    公开(公告)日:2021-08-12

    申请号:US16785288

    申请日:2020-02-07

    Abstract: Retroactive backup compliance. A data stream from a production site is stored in secondary storage associated with a data protection system. In response to an event such as a regulation change or a service level agreement change, backups are generated retroactively from the stored data stream. Backups are generated to correspond to times in the past. Backups can also be replaced, deleted, or generated ad-hoc. Further, the retroactively generated backups are generated to be consistent.

    Data reduction techniques for a multi-sensor internet of things environment

    公开(公告)号:US10931546B2

    公开(公告)日:2021-02-23

    申请号:US16024757

    申请日:2018-06-30

    Abstract: Data reduction techniques are provided for a multi-sensor IoT environment. An exemplary method comprises: dynamically determining, by a device within a distributed network comprised of a plurality of sensors, an amount of sensor data to be collected by and/or transmitted by a sensor within the distributed network based on at least one predefined spatial-based rule and/or at least one predefined temporal-based rule; and processing the sensor data based on the dynamically determined amount of sensor data. A percentage of the plurality of sensors within the distributed network that collect and/or transmit the sensor data can optionally be specified. One or more sensors optionally collect the sensor data at a default resolution and a predefined spatial-based rule and/or a predefined temporal-based rule specifies a predefined trigger for at least one sensor to collect and/or transmit the sensor data at a higher resolution.

    DATA PROTECTION DECISION BASED ON DEVICE USAGE

    公开(公告)号:US20200042198A1

    公开(公告)日:2020-02-06

    申请号:US16053629

    申请日:2018-08-02

    Abstract: One example method includes receiving an IO associated with a process initiated by an application, where the IO is identified by a tag that corresponds to the process. The method further includes saving the tag on a device that is an element of a storage group (SG) that is specific to the application, and correlating the tag with a data protection process that is associated with the application. When a request is received to perform an SG protection process, the SG protection process is performed on the tagged device.

    Data Management Policies for Internet of Things Components

    公开(公告)号:US20190327152A1

    公开(公告)日:2019-10-24

    申请号:US15959592

    申请日:2018-04-23

    Abstract: Techniques are provided for implementing data management policies for various components of an Internet of Things (IoT) system. An exemplary method performed by an IoT component comprises: obtaining sensor data; obtaining a data management policy that specifies a data transmission policy, a data retention policy, a data retirement policy and/or a data processing policy for a processing of the sensor data by a plurality of IoT components; and processing the sensor data based on the obtained data management policy. Data policy operators are optionally provided to (i) adjust a resolution of the sensor data; (ii) aggregate the sensor data; and/or (iii) apply a learning algorithm to the sensor data, based on the data management policy.

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