Abstract: Techniques performed by a data processing system for diagnosing problems with a communications platform include obtaining query parameters including an aggregation operator for invoking a machine learning algorithm configured to analyze performance data for the communications platform, automatically executing the query on the performance data to obtain query results by invoking the machine learning algorithm on the performance data to automatically identify a plurality of clusters of data indicative of a performance problem, and presenting a visualization of the query results. The visualization includes indicators identifying cluster properties for which the query results are further refinable and one or more second indicators identifying the second subset of the second cluster properties which are not relevant for further refining the first query results. The indicators are actuatable to automatically update and re-execute the first query based on the respective indicator that is actuated.

Abstract: Techniques performed by a data processing system for diagnosing problems with a communications platform include obtaining query parameters including an aggregation operator for invoking a machine learning algorithm configured to analyze performance data for the communications platform, automatically executing the query on the performance data to obtain query results by invoking the machine learning algorithm on the performance data to automatically identify a plurality of clusters of data indicative of a performance problem, and presenting a visualization of the query results. The visualization includes indicators identifying cluster properties for which the query results are further refinable and one or more second indicators identifying the second subset of the second cluster properties which are not relevant for further refining the first query results. The indicators are actuatable to automatically update and re-execute the first query based on the respective indicator that is actuated.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: This disclosure describes a user interface (UI) conceptual model and a data model for quickly and easily developing and managing a GUI. The present methods and systems described herein provide for defining one or more UI elements in the UI conceptual model. The one or more UI elements may further reference one or more model objects in the data model. The one or more model objects may include one or more tasks, which may each be mapped to one or more commands for performing each task, or one or more data items, which may each be mapped to rules or conditions for transforming data. According to embodiments, graphics or functionality of a GUI may be easily and efficiently modified by adding, deleting, or modifying UI elements in the UI conceptual model or by adding, deleting, or modifying referenced model objects in the data model, thereby reducing management and development costs.

Abstract: Large messages in the form of hierarchically structured documents are processed in a streaming fashion using the ultimate consumer read requests as the driving force for the processing. The messages are partitioned into fixed length segments. The segments are processed in pipeline fashion. This processing chain includes simulating random access of hierarchical documents using stream transformations, mapping streams to a transport's native capabilities, composing streams into chains and using pipeline processing on the chains, staging fragments into a database and routing messages when complete messages have been formed, and providing tools to allow the end user to inspect partial messages.

Abstract: Techniques to manage facsimile communications are described. An apparatus may comprise a facsimile device having an assigned access number, and a call terminal having the assigned access number and a facsimile control module, the call terminal to establish a call connection in response to a call request with the access number, and the facsimile control module to detect facsimile information and transfer the call connection from the call terminal to the facsimile device. Other embodiments are described and claimed.

Abstract: Large messages in the form of hierarchically structured documents are processed in a streaming fashion using the ultimate consumer read requests as the driving force for the processing. The messages are partitioned into fixed length segments. The segments are processed in pipeline fashion. This processing chain includes simulating random access of hierarchical documents using stream transformations, mapping streams to a transport's native capabilities, composing streams into chains and using pipeline processing on the chains, staging fragments into a database and routing messages when complete messages have been formed, and providing tools to allow the end user to inspect partial messages.

Abstract: Large messages in the form of hierarchically structured documents are processed in a streaming fashion using the ultimate consumer read requests as the driving force for the processing. The messages are partitioned into fixed length segments. The segments are processed in pipeline fashion. This processing chain includes simulating random access of hierarchical documents using stream transformations, mapping streams to a transport's native capabilities, composing streams into chains and using pipeline processing on the chains, staging fragments into a database and routing messages when complete messages have been formed, and providing tools to allow the end user to inspect partial messages.

Abstract: Large messages in the form of hierarchically structured documents are processed in a streaming fashion using the ultimate consumer read requests as the driving force for the processing. The messages are partitioned into fixed length segments. The segments are processed in pipeline fashion. This processing chain includes simulating random access of hierarchical documents using stream transformations, mapping streams to a transport's native capabilities, composing streams into chains and using pipeline processing on the chains, staging fragments into a database and routing messages when complete messages have been formed, and providing tools to allow the end user to inspect partial messages.