Patent classifications
G06F16/838
DELTA-BASED CONFLICT-FREE REPLICATED DATA TYPE ARRAYS USING DOT STORES THAT MAP DOTS TO DOT STORES
An example system includes a processor to receive deltas corresponding to concurrently executed operations of a number of other replicas on an element of a delta-based conflict free replicated data type (CRDT) array of a distributed computing system. The processor is to modify, at the first replica, the element of the delta-based CRDT array based on the deltas using a dot store that maps dots to a dot store.
METHODS AND SYSTEMS FOR CREATING AND MANAGING MICRO CONTENT FROM AN ELECTRONIC DOCUMENT
Systems and methods are disclosed herein for processing one or more document and/or hierarchal project. For example, a system is disclosed having memory storing the document as a data file comprising content data. The system also includes at least one processor coupled to the at least one memory and configured to designate a portion of the content data as micro content; receive user input providing a phrase; and generate a phrase map configured to associate the phrase with the designated micro content and store the phrase map as phrase map data, the phrase map data comprising at least the phrase associated with a reference indicative of the associated micro content.
Method and system for optimization of faceted search
In general, embodiments of the technology relate to a method for serv1cmg requests. The method includes receiving a search request from a client, determining a main path and a conditional subpath associated with the search request, determining a subpath index associated with the main path and the conditional subpath, obtaining, using at least a portion of the search request, a set of subpath index entries from the subpath index, wherein each of the subpath index entries specifies a facet subpath and content associated with the facet subpath, generating a final result using at least a portion of the contents in the set of subpath index entries, and providing the final result to the client.
Method and system for optimization of faceted search
In general, embodiments of the technology relate to a method for serv1cmg requests. The method includes receiving a search request from a client, determining a main path and a conditional subpath associated with the search request, determining a subpath index associated with the main path and the conditional subpath, obtaining, using at least a portion of the search request, a set of subpath index entries from the subpath index, wherein each of the subpath index entries specifies a facet subpath and content associated with the facet subpath, generating a final result using at least a portion of the contents in the set of subpath index entries, and providing the final result to the client.
Multi-faceted visualization
System and methods are provided for displaying dynamic content on a graphical user interface. A first data illustration of a first facet of data is displayed in a first two-dimensional interface, wherein the first two-dimensional interface corresponds to a side or cross-section of a three-dimensional interface, and the first two-dimensional interface displays a plurality of filters for the first data illustration. A selection for one of the plurality of filters and a selection to display a second facet of data are received from a user. A dynamic rotation of the three-dimensional interface to a second side or cross-section that corresponds to a second two-dimensional interface is displayed, wherein a second data illustration of the second facet of data is displayed in the second interface, the second data illustration being filtered according to the selected filter.
Multi-faceted visualization
System and methods are provided for displaying dynamic content on a graphical user interface. A first data illustration of a first facet of data is displayed in a first two-dimensional interface, wherein the first two-dimensional interface corresponds to a side or cross-section of a three-dimensional interface, and the first two-dimensional interface displays a plurality of filters for the first data illustration. A selection for one of the plurality of filters and a selection to display a second facet of data are received from a user. A dynamic rotation of the three-dimensional interface to a second side or cross-section that corresponds to a second two-dimensional interface is displayed, wherein a second data illustration of the second facet of data is displayed in the second interface, the second data illustration being filtered according to the selected filter.
On-demand execution of object transformation code in output path of object storage service
Systems and methods are described for modifying input and output (I/O) to an object storage service by implementing one or more owner-specified functions to I/O requests. A function can implement a data manipulation, such as filtering out sensitive data before reading or writing the data. The functions can be applied prior to implementing a request method (e.g., GET or PUT) specified within the I/O request, such that the data to which the method is applied my not match the object specified within the request. For example, a user may request to obtain (e.g., GET) a data set. The data set may be passed to a function that filters sensitive data to the data set, and the GET request method may then be applied to the output of the function. In this manner, owners of objects on an object storage service are provided with greater control of objects stored or retrieved from the service.
BROWSER BASED, PLUGGABLE, WORKFLOW DRIVEN BIG DATA PIPELINES AND ANALYTICS SYSTEM
A system of the present invention enables the running of browser based, pluggable Big Data Applications powered by intelligent workflows. The system receives from a user computer browser application a request for execution of a workflow. The request is submitted for execution of the workflow to the Spark® cluster as a Spark® job including information about the workflow details. The result of the execution of the workflow is received from the driver running on the Spark® cluster after each node of the workflow request has been executed on the Spark® cluster. A JSON/XML-format files containing the received results of the execution of the workflow is then created, such that when the JSON/XML format files are processed by the user computer web browser, the results are displayed on the user computer as rich text/table/chart/tree visual displays.
Method for relevancy ranking of products in online shopping
Systems and methods for ranking one or more products in online shopping. One or more products are identified based on a search query received from user. The one or more products are ranked based on terms present in the search query. Each of the one or more products has one or more attributes associated with it. An attribute score for each of the one or more products is determined. Further, based on the attribute score, the relevancy of the one or more products is determined. Based on the relevancy, a marginal relevancy score for each of the one or more products is determined. The one or more products are re-ranked based on the marginal relevancy score. The rank of the one or more products can also be modified to optimize revenue generation.
Installation and upgrade of visualizations for managed networks
An embodiment may involve receiving a request to install or upgrade a performance analytics dashboard of a graphical user interface displayed on a client device. The performance analytics dashboard may define a data visualization related to a particular key performance indicator. A data model may represent configuration and operational characteristics of computing devices disposed within a managed network. The configuration and operational characteristics may include key performance indicators. The embodiment may also involve determining that installing or upgrading the performance analytics dashboard requires updating data within the data model. The embodiment may also involve receiving, by way of the graphical user interface, permission to update the data within the data model. The embodiment may also involve updating the data within the data model then installing or upgrading the performance analytics dashboard.