Abstract: Systems and methods that adaptively model network traffic to predict network capacity utilization and quality of experience into the future. The adaptive model of network traffic may be used to recommend capacity upgrades based on a score expressed in a QoE space.

Abstract: Utilizing subscriber address information to provide an alert of a service condition that provides guidance on which area of a service network might be the source of the service condition.

Abstract: Systems and methods that adaptively model network traffic to predict network capacity utilization and quality of experience into the future. The adaptive model of network traffic may be used to recommend capacity upgrades based on a score expressed in a QoE space.

Abstract: A system (100) includes an update server (110) in communication with one or more client devices (106,107,108) across a network (102). A smart scheduler engine (118) schedules deployment of an update (117) to at least a first group of client devices. A monitoring auto configuration server interface (111) deploys the update to the first group of client devices. An analytics engine (114) identifies one or more anomalies occurring in the first group of client devices resulting from the upgrade. When this occurs, the scheduling engine cancels future updates to at least a second group of client devices where the later group includes devices having one or more device characteristics that correlate with other devices of the first group of client devices experiencing the one or more anomalies.

Abstract: A system (100) includes an update server (110) in communication with one or more client devices (106,107,108) across a network (102). A smart scheduler engine (118) schedules deployment of an update (117) to at least a first group of client devices. A monitoring auto configuration server interface (111) deploys the update to the first group of client devices. An analytics engine (114) identifies one or more anomalies occurring in the first group of client devices resulting from the upgrade. When this occurs, the scheduling engine cancels future updates to at least a second group of client devices where the later group includes devices having one or more device characteristics that correlate with other devices of the first group of client devices experiencing the one or more anomalies.

Abstract: The methods, systems, and apparatuses described in this disclosure enable the reporting and monitoring of summarized metrics for a plurality of carriers. Metrics for one or more of a plurality of carriers can be observed and/or recorded based on measurements taken of one or more signals received along one or more of the plurality of carriers. Observed metrics may be sorted according to an associated carrier. A summary of observed metrics may be generated such that the metric summary can provide a glimpse of the quality of the carriers and an alert of any issues that might exist on the carriers.

Abstract: A quality check of service received by a CPE device within a first customer premise is initiated, and if the results of the quality check indicate a problem with the service received by the CPE device, one or more CPE devices within one or more customer premises sharing upstream network resources with the first customer premise is identified and a quality check of service received by the one or more identified CPE devices can be conducted. If the results of the quality check of the one or more identified CPE devices indicate a problem with the service received by the CPE devices, a determination can be made that a problem exists at a network component upstream from the first customer premise and the other one or more customer premises.

Abstract: Systems, methods, and devices for qualifying quality of service in data services delivered through wireless networks established by wireless access points (WAPs) are disclosed. A portable computing device can be used to execute a wireless network connectivity qualification application that can include functionality for testing and evaluating wireless network connectivity signals between various devices, including the WAP, in a particular local wireless network. Based on the test results, the application can generate recommendations for remedying any detected network issues. The recommendations can be determined from information stored locally on the portable computing device or in remote backend servers.

Abstract: A method implemented in a computer system for detecting performance degradation in a hybrid fiber-coaxial (HFC) cable plant having customer premises equipment (CPE) elements, active elements, and passive elements. The method collects radio frequency (RF) metric values, computes absolute deviation values of the RF metric values from reference RF metric values, computes relative hierarchical deviation values of the RF metric values, and computes relative peer deviation values of the RF metric values. The method sends an alarm message to an operator when the absolute deviation value, relative hierarchical deviation value, or relative peer deviation value for any element exceeds a threshold value.

Abstract: A quality check of service received by a CPE device within a first customer premise is initiated, and if the results of the quality check indicate a problem with the service received by the CPE device, one or more CPE devices within one or more customer premises sharing upstream network resources with the first customer premise is identified and a quality check of service received by the one or more identified CPE devices can be conducted. If the results of the quality check of the one or more identified CPE devices indicate a problem with the service received by the CPE devices, a determination can be made that a problem exists at a network component upstream from the first customer premise and the other one or more customer premises.

Abstract: A method implemented in a computer system for detecting performance degradation in a hybrid fiber-coaxial (HFC) cable plant having customer premises equipment (CPE) elements, active elements, and passive elements. The method collects radio frequency (RF) metric values, computes absolute deviation values of the RF metric values from reference RF metric values, computes relative hierarchical deviation values of the RF metric values, and computes relative peer deviation values of the RF metric values. The method sends an alarm message to an operator when the absolute deviation value, relative hierarchical deviation value, or relative peer deviation value for any element exceeds a threshold value.

Abstract: Systems, methods, and devices for qualifying quality of service in data services delivered through wireless networks established by wireless access points (WAPs) are disclosed. A portable computing device can be used to execute a wireless network connectivity qualification application that can include functionality for testing and evaluating wireless network connectivity signals between various devices, including the WAP, in a particular local wireless network. Based on the test results, the application can generate recommendations for remedying any detected network issues. The recommendations can be determined from information stored locally on the portable computing device or in remote backend servers.

Abstract: Methods and apparatuses for locating cloned CPEs in a communication system are provided. A clone detector receives from each access router in a communication system the MAC addresses of CPEs registered with the access router. The clone detector compares the MAC addresses to identify a cloned MAC address. The clone detector determines the service address for the cloned MAC address and identifies neighboring CPEs to the service address. The clone detector determines the access router to which the neighboring CPEs are registered and identifies a CPE having the cloned MAC address and registered to any other access router than the access router to which the neighboring CPEs are registered as a cloned CPE.

Abstract: Methods and apparatuses for locating cloned CPEs in a communication system are provided. A clone detector receives from each access router in a communication system the MAC addresses of CPEs registered with the access router. The clone detector compares the MAC addresses to identify a cloned MAC address. The clone detector determines the service address for the cloned MAC address and identifies neighboring CPEs to the service address. The clone detector determines the access router to which the neighboring CPEs are registered and identifies a CPE having the cloned MAC address and registered to any other access router than the access router to which the neighboring CPEs are registered as a cloned CPE.