Abstract: The example embodiments are directed to a system and method for re-partitioning a storage for asset data based on a change in the asset data. In one example, the method may include one or more of monitoring asset data that is being stored in a storage device having a predetermined partitioning scheme, identifying a change in a data pattern of the asset data based on the monitoring, modifying the predetermined partitioning scheme into a different partitioning scheme based on the identified change in the data pattern of the asset data, and storing newly received asset data in the storage device based on the different partitioning scheme as a result of the modifying.

Abstract: The example embodiments are directed to a system and method for deploying and monitoring applications within a cloud environment including multiple execution engines. In one example, the system includes a network interface configured to receive an application from a client, and a processor configured to determine a cloud services platform, from among a plurality of different cloud services platforms, to be a host platform for the application, and retrieve API information from storage that is unique to the determined cloud services platform and which is to be used for communicating with the determined cloud services platform when executing the application, wherein the processor is further configured to launch an execution of the application via the determined cloud services platform and communicate with the determined cloud services platform on behalf of the executing application based on the retrieved API information.

Abstract: The example embodiments are directed to a system and method for deploying and monitoring applications within a cloud environment including multiple execution engines. In one example, the system includes a network interface configured to receive an application from a client, and a processor configured to determine a cloud services platform, from among a plurality of different cloud services platforms, to be a host platform for the application, and retrieve API information from storage that is unique to the determined cloud services platform and which is to be used for communicating with the determined cloud services platform when executing the application, wherein the processor is further configured to launch an execution of the application via the determined cloud services platform and communicate with the determined cloud services platform on behalf of the executing application based on the retrieved API information.

Abstract: The example embodiments are directed to a system and method for deploying and monitoring applications within a cloud environment including multiple execution engines. In one example, the system includes a processor to receive application performance data of an application from a runtime environment, the application performance data including performance attributes of the application that are captured while executing the application in the runtime environment, and modify the application performance data into runtime environment agnostic application performance data, and an output to output the runtime environment agnostic application performance data for display via a unified monitoring interface that is configured to display application performance data of different runtime environments.

Abstract: Methods, systems, and apparatus for ensuring data integrity are disclosed. A data container structure is obtained, the data container structure containing data and a source identifier of a first hardware component. The data container structure is modified, using a header processing device, to include a component signature and an identifier of a second hardware component.

Abstract: Methods, systems, and apparatus for prioritizing data are disclosed. A data container is parsed to obtain header information and an asset type is identified based on the header information. A weighted asset priority value and a second weighted priority value are determined. A priority level of the data container is determined based on the weighted asset priority value and the second weighted priority value. An identifier of the data container is appended to a priority queue corresponding to the determined priority level.

Abstract: Disclosed are systems, methods, and computer program products embodied in computer-readable media that facilitate the ingestion of internet-of-things (IoT) data provided by various data sources in various formats, using device-specific data parsers, selected from a catalog of data parsers based on metadata associated with the respective IoT data sources, to convert the data into a device-generic output format.

Abstract: Methods, systems, and apparatus for ensuring data integrity are disclosed. A data container structure is obtained, the data container structure containing data and a source identifier of a first hardware component. The data container structure is modified, using a header processing device, to include a component signature and an identifier of a second hardware component.

Abstract: A system and method for tracking conversations is disclosed. The method includes receiving an alert, the alert comprising operation information of a machine, determining a user for the alert, determining a first communication medium for a notification message, transmitting the notification message to the user via the first communication medium, the notification message comprising the operation information, storing a record of the notification message in a database in association with a conversation identification, receiving a command message from the user via a second communication medium different from the first communication medium, the command message comprising an instructional command for the machine, transmitting the command message to a control unit of the machine, the control unit being configured to control an operation of the machine based on the instructional command, and storing a record of the command message in the database in association with the conversation identification.

Abstract: An example method is provided and includes analyzing a digital advertisement configured for display on a digital sign; identifying a tag event that includes a keyword provided in the digital advertisement; identifying a time interval associated with the tag event; and recording the tag event and the time interval in a log. In more specific embodiments, the tag event further comprises an identification of a speaker in the digital advertisement. The digital advertisement can be identified by a token that may be associated with a hash having a time derived attribute.