Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.

Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.

Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.

Abstract: A system and method to synchronize the processing of messages in areas of an execution graph affected by primitives with potential for substantial delay is provided. A continuous processing system identifies primitives with potential for substantial delay. For each potentially-delayed primitive that is not in a loop, the continuous processing system creates a “timezone” downstream of such primitive. The output(s) of the potentially-delayed primitive is an input to the timezone. The continuous processing system then identifies all other inputs to the timezone and places a synchronizer across such inputs. In cases where the potentially-delayed primitive is within a loop, the timezone includes such primitive, as well all primitives downstream of such primitive.

Abstract: The present invention provides a method for obtaining predicable and repeatable output results in a continuous processing system. The method involves processing messages and primitives in accordance with the following rules: (1) Messages are processed in accordance with timestamps, where messages are divided up into “time slices”; (2) message order within a data stream is preserved among messages with the same time stamp; (3) subject to rule #4, for each time slice, a primitive is executed when either the messages within such time slice show up in the input stream for such primitive or the state of the window immediately preceding such primitive changes due to messages within such time slice; and (4) for each time slice, primitives that are dependent on one or more upstream primitives are not executed until such upstream primitives have finished executing messages in such time slice that are queued for processing.

Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.

Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.

Abstract: The present invention provides a system and method for measuring latency in a continuous processing system. The invention involves generating “tracer” messages that are specifically designed for measuring latency. A tracer message is configured to pass through and be outputted by each primitive in the tracer message's path regardless of the function of the primitive and without changing the state of the primitive. Tracer messages are not filtered by filter primitives or delayed by time-delay primitives. Tracer messages are detected and discarded within loops. These rules provide for predictable behavior of tracer messages, thereby making them reliable indicators of latency and liveness in the continuous processing system. A tracer message is inserted into the continuous processing system at a desired start point for measuring latency. At a desired end point for measuring latency, latency is measured by calculating the amount of time the tracer message took to travel from the start point to the end point.

Abstract: Performance data relating to each of multiple network devices distributed in a geographic region is analyzed. That data can include values for various parameters measured automatically by routine polling of subscriber devices and/or network elements serving those subscriber devices. Measured parameter values can then be stored in a database and made available, together with information about subscriber device locations, to one or more analysis servers that analyze different portions of the network. As part of that analysis, groups of devices experiencing performance problems are identified based on device location. Information about those groups is then communicated and can be made available for, e.g., monitoring by service personnel.