Emc Corporation

Emc IP Holding Company LLC

Hewlett Packard Enterprise Development LP

Symantec Operating Corporation

Veritas Operating Corporation

Bruce Rabe

Scott E Joyce

Norman M Miles

Xiaogang Wang

Kendra Marchant

Rhon L Porter

Munish T Desai

Dazhi Dong

Qi Qu

Mark A Parenti

Timothy J Cox

James Odis Pendergraft

Anirudh Takkallapally

Vincent Ma

Peter Cheng Chen

Xuan Tang

Nagasimha G Haravu

Donald Labaj

Neil F Schutzman

Sreenath Rajagopal

Norman Speciner

Natasha Gaurav

Eric Scott Lewine

Ralph Johnson Marshall

Binbin Liu Lin

Dennis Thomas Duprey

Kalapriya Kannan

Suparna Bhattacharya

Sriram Krishnan

Hui Gao

Scott David Von Rhee

Binhua Lu

Russell Thrasher

Greg Lazar

Sung-Wook Ryu

Hongzhen Zhang

Vidhi Bhardwaj

Yidong Wang

Paul A Scammell

Natalie Lee Chin Wong

Nancy Welch

Joseph Lopilato

Joseph C Caiani

Pauline Chen

Ryan Jancaitis

Thiago Lucas Da Silva

Isao Yanagimachi

Kavitha Shravani Ravilla

Scott B Kay

Tara Halwes

Zafrir E Gan

Lisa Jianli Zhang

Mark Clifford

Norm Miles

Chaitra Kallianpur

Krishnaraju Thangaraju

Examples described herein relate to preparing datasets in a storage device for machine learning (ML) applications. Examples include maintaining ML facet mappings between ML facets and dataset preparation tags, deriving ML facets of a dataset stored in the storage device, and generating filtered datasets from the datasets using the ML facets and ML facet mappings. The filtered dataset is associated with improved dataset quality compared to unfiltered dataset. The storage device transmits the filtered dataset to ML applications requesting the dataset. Some examples include recommending, by the storage device, ML facets to the ML application based on performance metrics.

Machine learning facets for dataset preparation in storage devices

Example implementations relate to synchronizing configuration dataset information from independent cluster groups. In an example, an aggregator selects nodes to each represent a different respective cluster group of a plurality of independent cluster groups. The aggregator establishes a respective server-sent event channel with each of the nodes. The aggregator receives, from a node, transaction log information representing changes to a configuration database associated with the independent cluster group represented by the node. The aggregator plays back the received transaction log information, which is in the form of database statements, into a centralized configuration database cache.

Centralized configuration database cache

There is disclosed a method and system for use in managing data storage. A plurality of discrete management operations is recorded in connection with a data storage system. A management operation is received in connection with the data storage system. The plurality of discrete management operations is analyzed in connection with the data storage system. Based on the analysis, a sequence of management operations performed on a predetermined number of occasions in connection with the data storage system is identified. The received management operation is one of the management operations in the sequence. A graphical user interface wizard is generated such that a user can be guided through at least a portion of the sequence of discrete management operations in response to identifying the sequence.

Managing data storage

Described are techniques for customizing a help system. A help system may be received providing help for a product. A proficiency level for a user may be determined in accordance with one or more proficiency criteria including one or more previous interactions of the user with any of the help system and performing an operation using a non-help feature of the product. A customized help system for the user may be determined for the user in accordance with the proficiency level for the user, wherein the customized help system is a modified version of the help system.

Adaptive help system

Described are techniques for use in connection with providing data protection. A storage resource for which data protection is provided by a data protection service may be identified. One or more criteria may be specified denoting one or more trigger conditions for providing data protection by the data protection service, wherein, responsive to an occurrence of any of the one or more trigger conditions, first processing may be performed by the data protection service to protect the storage resource. The one or more criteria may include a first criterion identifying a first amount of data change that has to occur with respect to the storage resource. Notification may be received regarding an occurrence of a first of the one or more trigger conditions. Responsive to receiving the notification, the first processing may be performed by the data protection service.

Data protection based on data changed

There are disclosed computer-implemented methods, apparatus, and computer program products for scheduling snapshots. In one embodiment, the method comprises the following steps. The method comprises receiving performance data relating to a data storage system. The method also comprises determining, based on the performance data, a time for performing a snapshot of data stored on the data storage system. The method further comprises scheduling the snapshot according to the time.

Scheduling snapshots

Described are techniques for processing requests. A profile is recorded comprising a plurality of prior requests from a client to a server. The plurality of prior requests associated with first data. A cached copy of the first data is stored in a cache of the server. A quality of service associated with the received request is determined for affecting when the update is applied to the cached copy of first data. The quality of service associated with the received request is dependent on the prior requests in the profile. The first update is applied to the first data. In accordance with the quality of service, the first update is applied to the cached copy of the first data.

Techniques for cache updates based on quality of service

Techniques for displaying a user interface are described. A first plurality of property files specify property values of user interface elements for a first code entity of an application. The first plurality of property files includes a first property file and a common property file. The common property file specifies a first value for a first property of a first type of user interface element. A second plurality of property files specify property values for a second code entity of the application. The second plurality of property files includes a second property file and the common property file. First processing is performed to render a user interface element of the first type when executing the first code entity. A current value for the first property for the first code entity is determined in accordance with a first lookup chain specifying a prioritized ordering of the first plurality of property files.

Specifying sizes for user interface elements

Examples are generally directed towards an animated performance dashboard. An animated performance dashboard including a plurality of performance indicators representing a plurality of selected objects is generated. A performance indicator includes a color overlay. The color overlay of a given performance indicator identifies a performance status of at least one object at a given point in time relative to a selected metric and a performance threshold. The animated performance dashboard animates changes in performance status of one or more objects at a plurality of points within a time range by changing a first color overlay of one or more performance indicators identifying a first performance status of one or more objects at a first point in time to a second color overlay identifying a second performance status of the one or more objects at a second point in time within the time range.

Animated array performance dashboard

Described are methods, systems, and apparatus, including computer program products for determining and managing the dependencies of components of a storage system. Storage system object data for a plurality of storage system objects on a storage system is received by a management server. A plurality of logical dependencies are determined by the management server based on the storage system object data, where each logical dependency reflects a dependency between at least two storage system objects of the plurality of storage system objects. A tree having a plurality of nodes and a plurality of edges is formed by the management server, where each edge connects a first node and a second node, the first node representing a first storage system object and the second node representing a second storage system object, and the edge representing a logical dependency between the first storage system object and the second storage system object.

Determining and managing dependencies in a storage system

A method provides automatic layout of GUI screens based on contents of a response to a resource request. A display format is selected based on whether a resource in the response includes only a single data object (form display format) or an array of data objects (table display format). A specification is then created for a display object of the selected display format to be rendered on a GUI screen. For the form display format, the specification includes label:value pairs and location information specifying locations for the pairs in form columns. For the table display format, the specification includes a table definition (number of columns, column headings etc.) and row data values for the data objects of the array. Values are arranged in a display order of the resource fields in the response.

Automatic layout of graphical user interface screens from object data

Described are methods, systems, and apparatus, including computer program products for identifying IT components. An image of at least a portion of a first IT component and a second IT component is acquired by a mobile computing device. A first identification marker on the first IT component is located in the image. An identity of the first IT component based on the first identification marker is determined by the mobile computing device. A second identification marker on the second IT component is located in the image. An identity of the second IT component based on the second identification marker is located in the image by the mobile computing device. The image is displayed by the mobile computing device. Indicia of the identity of the first IT component and the second IT component is overlayed by the mobile computing device in the image.

Identifying it components based on identification markers

Examples are generally directed towards sonifying performance metrics. A computing device includes one or more data storage devices coupled to one or more processors. A performance dashboard controller maps a plurality of performance status updates corresponding to a plurality of points within a time range to a set of sound recordings to identify an audible performance indicator for the at least one object. A performance status update indicates a change in a performance status of the at least one object at a given point in time. The audible performance indicator sonifies the plurality of performance status updates at the plurality of points relative to the performance threshold. The audible performance indicator is output by an output device. The audible performance indicator identifies changes in performance status of the at least one object during the time range.

Sonification of performance metrics

One embodiment is directed to a method performed by a computing device. The method includes (1) receiving a command from a user to display a current GUI page of a set of GUI pages on a client device, the set of GUI pages providing the user with control over a system, (2) selecting, with reference to a proficiency level associated with the user, a version of the current GUI page from a plurality of versions of the current GUI page, and (3) causing the selected version of the current GUI page to be displayed to the user on a display of the client device. Other embodiments are directed to a computerized apparatus and a computer program product for performing a method similar to that described above.

Proficiency-based GUI adaptation

A method delivers a help process customized for a particular operating environment using a help system that initially has more generic content. The method includes obtaining system-specific information about a target system. A wrapper is instantiated by invoking it with the system-specific information as invocation parameters, the wrapper providing wrapper methods for modifying help content files of the help system that initially store the more generic content. The wrapper then (1) instantiates the help system, and (2) uses the wrapper methods to modify the help content files based on the invocation parameters to include the system-specific information instead of or in addition to the more generic content. The help system subsequently uses the help content files as modified in subsequent operation. In operation, the help system reflects the system-specific information, providing desirable customized functionality while leveraging automated design tools used to generate the more generic help system content.

Custom help systems by runtime modification of generic help files

Growing community of inventors

Dedham, MA, United States of America

Bruce Rabe