Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining network related anomaly scores. One of the methods includes generating a network map including at least a plurality of network nodes and a plurality of edges that indicate communications paths between the plurality of network nodes, obtaining first data indicating network activity over the edges and between the plurality of network nodes for a first time period, generating a model of expected network activity over the edges and between the plurality of network nodes for a future time period using the network map and the first data, obtaining second data indicating network activity over the edges and between the plurality of network nodes for a second time period, and determining an anomaly score using a comparison between the second data and the model of expected network activity.

Abstract: A device may receive text to be processed to prioritize text sections included in the text. The device may perform one or more prioritization techniques to prioritize the text sections. The one or more prioritization techniques may include at least one of: a semantic centrality analysis that indicates a degree to which a text section is semantically related to at least one other text section, an information content analysis that indicates a degree to which the text section includes information not included in the at least one other text section, or a combined analysis based on the semantic centrality analysis and the information content analysis. The device may prioritize the text sections, to form a set of prioritized text sections, based on performing the one or more prioritization techniques. The device may provide information that identifies the set of prioritized text sections.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that receive, from a device, a request to obtain an amount of physical items from an account, the account defining a total quantity of the physical items able to be obtained from the account, and the account being maintained across multiple locations at which the physical items are stored. The request is transmitted to at least one computer that manages inventory of the physical items for at least one of the multiple locations. Inventory availability information is received from the at least one computer that manages inventory of the physical items, including information regarding availability of the amount of physical items, and availability of a combination of differently-sized subunits of physical items that satisfy the requested amount. The inventory availability information is then transmitted to the device.

Abstract: A cloud services monitoring system (CSMS) helps a consumer of cloud computing resources determine the state of the cloud computing resources available to the consumer. The CSMS is particularly effective for cloud models where the consumer of the cloud computing resources is not the same as the provider of the cloud resource. The CSMS also provides mechanisms for adjusting operations actions to preserve service guarantees for the consumer. In that regard, the CSMS dynamically adjusts operations actions in response to the state of the cloud, rather than executing fixed predetermined operations actions that are not tailored to the monitored conditions.

Abstract: Novel methods and systems are provided for integrating multi-vendor cloud computing operations and architectures by using service-oriented orchestration to create a vendor and platform agnostic cloud computing framework. This approach aggregates core cloud computing functions including service provisioning, automating work flows, and data and usage monitoring across integrated services, thereby improving a data centers ability to execute operations quickly, under standardized protocols and with consistent quality of service.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a network path between computer assets. One of the methods includes receiving an asset topology that includes an identifier for each computer-related asset that may be an entry point for an attack simulation, receiving threat data that identifies vulnerabilities of computer-related assets, determining a first computer-related asset that may be an entry point for an attack simulation, identifying one or more first vulnerabilities of the first computer-related asset, determining a path from the first computer-related asset to a second computer-related asset, determining one or more second vulnerabilities of the second computer-related asset, determining a probability that the second computer-related asset will be compromised by an adversary, and determining a change to the asset topology to reduce the probability that the second computer-related asset will be compromised by an adversary.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts interconnect infrastructure components and capture relational aspects between the components within the interconnections. The infrastructure layouts map northbound services, which are service outputs, to southbound services, which are service capabilities, for fulfillment. The system may traverse a mapping from a northbound service to a fulfilling southbound service to generate a workflow to support deployment of the northbound service. In various implementations, the system may compare a path, which maps a northbound service to a southbound service, to a policy model to determine compliance with the policy.

Abstract: A system for database management and presentation processing of a graphical user interface includes a network interface interfacing with multiple data sources comprising internal systems and external systems, one or more processors, and an application service integration and communication layer to receive data including a live data feed. A data storage device stores schemas of data structures, and the data structures may include tables based on types and fields. The application service integration and communication layer normalizes and formats the live data feed according to the predetermined schemas, and stores the normalized and formatted procurement data in the database. A graphical user interface of true conditions assigned to procurement data in the live data feed is displayed.

Abstract: A system may receive an identifier for a new model product and identify a stored parts list associated with the identifier. The system may determine a code for one or more parts included on the parts list and may compare the code for a part, of the one or more parts included on the parts list, with codes for parts included in old model products. The system may determine that the part included on the parts list is comparable to one of the parts included in the old model products if the code for the part included on the parts list matches the code for the one of the parts included in the old model products. The system may use data associated with the one of the parts included in the old model products to generate a new spare parts forecast.

Abstract: A device may receive a source document to be processed for contextual information associated with named entities included in the source document. The device may identify a named entity included in the source document, and may identify a context of the source document. The device may identify a reference document associated with the named entity. The reference document may be different from the source document. The device may perform a semantic similarity analysis based on the context of the source document and further based on the reference document. The device may identify contextual information, included in the reference document, based on performing the semantic similarity analysis. The contextual information may relate to the context of the source document. The device may provide the contextual information.

Abstract: A device may obtain a document, of a document type, from which specific information is to be captured. The specific information to be captured may depend on a document class associated with the document. The device may identify the document class, associated with the document, based on a characteristic of the document. The document class may identify a category of document in which the document is included, and may be associated with multiple document types. The device may determine field information associated with the document class. The field information may include information that identifies a portion of the document where the specific information is located, or may include information that identifies a manner in which the specific information can be identified within the document. The device may analyze the document, based on the field information, in order to capture the specific information. The device may provide the captured specific information.

Abstract: A device may receive sensor data from a sensor device located on a particular farm. The device may identify an alert, associated with the particular farm, based on the sensor data and using a model. The model may be created based on imagery data and numeric data relating to a group of farms. The device may determine, using the model, a recommended course of action to address the alert, and provide, to a user device associated with the particular farm, the recommended course of action.

Abstract: A system may include first sensor to monitor first information relating a volume of information searched by a user, a second sensor to monitor second information relating to a number of requests, made by the user, to access a resource, a third sensor to monitor third information relating to a number of requests, made by the user, from different geographic locations, and a device to receive the first information, the second information, and the third information, and process the first information, the second information, and the third information in connection with the resource.

Abstract: A system creates an abstraction layer surrounding a diverse data system including multiple different databases. Data is received from data sources and ingested into the various databases according to a core model. New instances of the core model are created and added to a larger linked data model (LDM) when new data sources are added to the system. The LDM captures the linkages between different linked data objects and links across different databases. Accordingly, applications are able to access or explore the linked data stored in different databases without prior knowledge of the linking relationships.

Abstract: A system creates an abstraction layer surrounding a diverse data system including multiple different databases. Data is received from data sources and ingested into the various databases according to a core model. New instances of the core model are created and added to a larger linked data model (LDM) when new data sources are added to the system. The LDM captures the linkages between different linked data objects and links across different databases. Accordingly, applications are able to access or explore the linked data stored in different databases without prior knowledge of the linking relationships.

Abstract: A method and system generate test cases for applications that include User Graphical Interfaces (GUIs). The system may extract GUI information from prototype requirements (e.g., interactive wireframes), generate a screen model for each screen of the GUI by using a subset of extracted GUI information, generate an application model representing the prototype requirements by combining the screen model for each screen, and generate test cases by using the sequence of the GUICs and the event types included in the test path and a semantic knowledge base. The semantic knowledge base is generated by using the relationships between GUICs and the GUIC events.

Abstract: A method and system for managing an application in a cloud data center by monitoring the bandwidth of a subnet of which the primary operating instance of an application is a member. If a severe deterioration in the bandwidth caused by an over consumption of the subnet resources from other subnet constituents is detected, a suitable secondary instance in an alternate, uncompromised subnet is located and primary operation of the application is transferred from the former primary operating instance to the secondary instance. The secondary instance can be pre-launched or dynamically requisitioned according to various embodiments.

Abstract: A computer-implemented method, a processing pipeline and a system create a hierarchical semantic map of a document and extracted information. The method includes apportioning the document into major sections by accessing the document, recognizing a hierarchical structure of the document, and dividing the document into the major sections by using a data profiler and a machine learning module, classifying the major sections, and mapping the major sections to key elements in one of the multiple levels, searching one major section, and identifying sub-sections from the one major section to achieve a maximum confidence score indicates that the sub-sections associate with the key element, extracting the information from the identified sub-sections by using sequence modelers and linguistic characteristics provided by the data profiler, generating the hierarchical semantic map of the document by using the extracted information, and displaying in a user interface drop down selections of the key elements.

Abstract: A device is configured to receive a playlist identifying content assets to be played on a streaming video channel. Each of the content assets may include segments. The device may add segment addresses associated with a content asset into a queue. The segment addresses may identify memory locations at which the segments included in the content asset are stored. However, the segments themselves may not be stored by the device or added to the queue. The device may generate a batch of segment addresses from the segment addresses in the queue. The device may publish a channel manifest for the streaming video channel including the batch of segment addresses. The content assets may be accessible via the streaming video channel through a single network address. The device may periodically update the channel manifest based on the segment addresses in the queue.

Abstract: In some implementations, a computer-implemented method for generating computer-readable data models includes receiving time series data; applying a plurality of variable transformations to the time series data to generate a variable matrix with first and second dimensions; partitioning the variable matrix along a first one of the first and second dimensions to generate a plurality of data sets; partitioning the plurality of data sets along a second one of the first and second dimensions to generate a plurality data subsets; providing each of the plurality of data subsets to a respective computational unit in a distributed computing environment for evaluation; receiving, from the respective computational units, scores for a plurality of variables as determined by the respective computational units from the plurality of data subsets; and selecting a portion of the plurality of variables as having at least a threshold level of accuracy in modeling the time series data.