DISK UTILIZATION ANALYSIS
    1.
    发明申请

    公开(公告)号:US20180348973A1

    公开(公告)日:2018-12-06

    申请号:US16101615

    申请日:2018-08-13

    CPC classification number: G06F3/0482 G06F3/04842 G06F17/30082

    Abstract: An approach is provided for monitoring disk utilization at an object level. At a first time a first size of an object in a System i computing platform is determined by calling an application programming interface (API). At a second time a second size of the object is determined by calling the API. A difference between the first and second sizes is determined. The difference is determined to be greater than a threshold. Based on the difference exceeding the threshold, an alert is sent indicating growth at the object level rather than at an auxiliary storage pool level. The API is called to obtain the sizes of objects in an integrated file system in the System i computing platform. Differences between the sizes of the objects at a user-entered start date and the current time are determined and presented. A report including the differences is generated and sent.

    SECURITY VIA DYNAMIC DATA MOVEMENT IN A CLOUD-BASED ENVIRONMENT

    公开(公告)号:US20180217997A1

    公开(公告)日:2018-08-02

    申请号:US15937694

    申请日:2018-03-27

    Inventor: Boris Burshteyn

    Abstract: Methods, apparatuses, and embodiments related to improving security of data that is stored at a data store distributed over a computer network or remote cloud-based environment. For example, source data to be protected is partitioned into multiple data files. Additionally, each file may be obfuscated, such as by being encrypted, to created multiple obfuscated data files. Information as to how each obfuscated data file was obfuscated is stored in an associated trace file. The multiple obfuscated data files are moved around a computer network or remote cloud-based environment via a data movement process.

    DISTRIBUTED STORAGE QUOTA ENFORCEMENT
    3.
    发明申请

    公开(公告)号:US20180183664A1

    公开(公告)日:2018-06-28

    申请号:US15390146

    申请日:2016-12-23

    CPC classification number: H04L67/1097 G06F17/30082 H04L43/0817 H04L67/32

    Abstract: Embodiments are directed to client-side enforcement of storage quotas in a cloud service or distributed computing environment. A storage driver is configured to monitor access to an external storage system by a cloud process and to enforce storage limits for the external storage system. The storage driver intercepts reads and writes from the process to the external storage system and updates a local state to track the process's usage of the external storage system. A storage quota database is periodically checked for an updated storage usage and, if the updated storage usage is not present, then the external storage is scanned to obtain the updated storage usage. The updated storage usage is provided to the storage driver, which overwriting the local state. The storage driver continues to update the local state based upon the intercepted reads and writes.

    SYSTEMS AND METHODS FOR PROVIDING DATA QUALITY MANAGEMENT

    公开(公告)号:US20180173733A1

    公开(公告)日:2018-06-21

    申请号:US15847674

    申请日:2017-12-19

    Abstract: A system for providing data quality management may include a processor configured to execute instructions to: extract a plurality of first data elements from a data source; generate a data profile based on the first data elements; automatically create a first set of rules based on the first data elements and the data profile, the first set of rules assessing data quality according to a threshold; generate a second set of rules based on the first data elements and the first set of rules; extract a plurality of second data elements; assess the second data elements based on a comparison of the second data elements to the second set of rules; detect defects based on the comparison; analyze data quality according to the detected defects; and transmit signals representing the data quality analysis to a client device for display to a user.

    System and method for analyzing big data activities

    公开(公告)号:US09983973B2

    公开(公告)日:2018-05-29

    申请号:US15047554

    申请日:2016-02-18

    CPC classification number: G06F11/3495 G06F11/302 G06F17/30082 G06F17/30194

    Abstract: A system and method for analyzing big data activities are disclosed. According to one embodiment, a system comprises a distributed file system for the entities and applications, wherein the applications include one or more of script applications, structured query language (SQL) applications, Not Only (NO) SQL applications, stream applications, search applications, and in-memory applications. The system further comprises a data processing platform that gathers, analyzes, and stores data relating to entities and applications. The data processing platform includes an application manager having one or more of a MapReduce Manage, a script applications manager, a structured query language (SQL) applications manager, a Not Only (NO) SQL applications manager, a stream applications manager, a search applications manager, and an in-memory applications manager. The application manager identifies if the applications are one or more of slow-running, failed, killed, unpredictable, and malfunctioning.

    SECURITY VIA DATA CONCEALMENT
    6.
    发明申请

    公开(公告)号:US20180137130A1

    公开(公告)日:2018-05-17

    申请号:US15851644

    申请日:2017-12-21

    Inventor: Boris Burshteyn

    Abstract: Methods, apparatuses, and embodiments related to improving security of data that is stored at a data store distributed over a computer network. In an example, source data to be protected is partitioned into multiple files, and each file is obfuscated, such as by being encrypted, to created multiple obfuscated data files. Information as to how each obfuscated data file was obfuscated is stored in an associated trace file. The multiple obfuscated data files are moved around a computer network via a data movement process that includes sending each of the multiple obfuscated data files to a different randomly selected computer, where the computer further obfuscates the obfuscated data the trace file, and sends the further obfuscated data and trace file to a next randomly selected computer.

    Dynamic context-based data protection and distribution

    公开(公告)号:US09898485B2

    公开(公告)日:2018-02-20

    申请号:US14696149

    申请日:2015-04-24

    CPC classification number: G06F17/30215 G06F17/30082 G06F17/30091

    Abstract: Systems and methods for storing data in a data storage system that allows dynamic context-based data protection and distribution are disclosed. The method includes receiving a storage request and evaluating whether a storage policy is specified in the storage request. When the storage request specifies a storage policy, the data is stored according to the specified policy. When the storage request does not specify a storage policy, meta data and/or the data item itself may be evaluated to identify a storage policy. When a storage policy has been identified, store the data is stored according to the identified policy. When a storage policy has not been specified and cannot be identified, an error is returned.

    Security via data concealment
    10.
    发明授权

    公开(公告)号:US09898473B2

    公开(公告)日:2018-02-20

    申请号:US15668459

    申请日:2017-08-03

    Inventor: Boris Burshteyn

    Abstract: Methods, apparatuses, and embodiments related to improving security of data that is stored at a data store distributed over a computer network. In an example, source data to be protected is partitioned into multiple files, and each file is obfuscated, such as by being encrypted, to created multiple obfuscated data files. Information as to how each obfuscated data file was obfuscated is stored in an associated trace file. The multiple obfuscated data files are moved around a computer network via a data movement process that includes sending each of the multiple obfuscated data files to a different randomly selected computer, where the computer further obfuscates the obfuscated data the trace file, and sends the further obfuscated data and trace file to a next randomly selected computer.

Patent Agency Ranking