Abstract: A method for determining Over-The-Top (OTT) applications includes receiving, by an active agent, a list of OTT service platforms to be monitored. The received list includes URLs associated with various applications that are delivered by the OTT service platforms. The active agent connects to the URLs to determine information uniquely identifying OTT applications. The active agent stores the information in a repository. A network monitor monitors data flows between a plurality of sources and destinations on a network. Each of the data flows includes a plurality of data packets of the various applications that are delivered OTT. The network monitor extracts at least a portion of header information from each of monitored data packets. The network monitor identifies an OTT application occurring on the network based on the extracted header information and based on the information uniquely identifying various applications stored in the repository.

Abstract: A system for performing computer network service chain analytics includes network-connected devices containing a plurality of virtual network functions having elements and a data model for storing a plurality of metrics related to the plurality of virtual network functions and a service chain intelligence engine in communication with the one or more network-connected devices and the data model. The memory device contains a set of instructions that causes a processor to analyze the plurality of virtual network functions to automatically identify one or more service chains, to automatically determine, using the data model, performance behavior characteristics of each element for each of the identified service chains and to automatically generate an alarm, in response to determining that the performance behavior characteristics of one or more elements of at least one of the identified one or more service chains does not meet a predefined set of the performance behavior characteristics.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: A cloud computing system for determining Over-The-Top (OTT) applications includes a cloud computing environment partitioned into a plurality of partitions. The cloud partitions include at least a first wireless network operator's cloud, a second wireless network operator's cloud and a shared partition configured to receive and store information uniquely identifying OTT applications supported by at least one of the first and second wireless network operators. The system further includes a plurality of active agents. Each active agent receives a list of OTT service platforms supported by a corresponding wireless network operator. The received list includes a plurality of URLs associated with various applications that are delivered by the OTT service platforms. The active agent(s) connect to the plurality of URLs to determine information uniquely identifying each of the OTT applications and to store the information in the shared partition of the cloud computing environment.

Abstract: A method for determining Over-The-Top (OTT) applications includes receiving, by an active agent, a list of OTT service platforms to be monitored. The received list includes URLs associated with various applications that are delivered by the OTT service platforms. The active agent connects to the URLs to determine information uniquely identifying OTT applications. The active agent stores the information in a repository. A network monitor monitors data flows between a plurality of sources and destinations on a network. Each of the data flows includes a plurality of data packets of the various applications that are delivered OTT. The network monitor extracts at least a portion of header information from each of monitored data packets. The network monitor identifies an OTT application occurring on the network based on the extracted header information and based on the information uniquely identifying various applications stored in the repository.

Abstract: A cloud computing system for determining Over-The-Top (OTT) applications includes a cloud computing environment partitioned into a plurality of partitions. The cloud partitions include at least a first wireless network operator's cloud, a second wireless network operator's cloud and a shared partition configured to receive and store information uniquely identifying OTT applications supported by at least one of the first and second wireless network operators. The system further includes a plurality of active agents. Each active agent receives a list of OTT service platforms supported by a corresponding wireless network operator. The received list includes a plurality of URLs associated with various applications that are delivered by the OTT service platforms. The active agent(s) connect to the plurality of URLs to determine information uniquely identifying each of the OTT applications and to store the information in the shared partition of the cloud computing environment.

Abstract: A network monitoring system that summarizes a plurality of data packets of a session into a compact session record for storage and processing. Each session record may be produced in real-time and made available during the session and/or after the termination of the session. Depending on protocols, a network monitoring system extracts different sets of information, removes redundant information from the plurality of data packets, and adds performance information to produce the session record. The network monitoring system may retrieve and process a single session record or multiple session records for the same or different protocols to determine cause of events, resolve issues in a network or evaluate network performance or conditions. The session record enables analysis in the units of session instead of individual packets. Hence, the network monitoring system can analyze events, issues or performance of the network more efficiently and effectively.

Abstract: A system for selective user plane (UP) monitoring includes a service gateway (SGW) having a plurality of units. The system further includes a network packet broker (NPB) configured to receive packets including UP data from tunnels created to enable transmission of the UP packets from UE to the plurality of SGW units. The NPB is also configured to receive packets including control plane (CP) data from channels enabling transmission of the CP packets from a base transceiver station to the SGW. The system also includes a plurality of probes operatively coupled to the NPB. The probes are configured to generate first metrics associated with the received CP packets and to selectively generate second metrics associated with the received UP packets based on one or more identifiers. The NPB is configured to forward UP packets being processed by a particular SGW unit to a particular probe of the plurality of probes.

Abstract: A system for selective user plane monitoring includes a network packet broker (NPB) configured to receive a plurality of packets including user plane data from one or more tunnels created to enable direct transmission of the user plane packets from user equipment to a service getaway (SGW). The NPB is also configured to receive a plurality of packets including control plane data from one or more channels created to enable transmission of the control plane packets from a base transceiver station to the SGW. The system further includes a monitoring probe operatively coupled to the NPB. The monitoring probe is configured to generate a first plurality of metrics associated with the received control plane packets and configured to selectively generate a second plurality of metrics associated with the received user plane packets based on one or more identifiers.

Abstract: A system and method to aggregate subscriber-perspective data from live data packets of network traffic. The method includes inspecting live packets of network traffic exchanged with a plurality of subscriber end devices. Network traffic exchanged with a subscriber end device can include network traffic exchanged with a different subscriber end device or with an application server. The packet inspection is performed at a location of interception of the live packets, each subscriber end device being an end device correlated with a subscriber. The method further includes selecting, at the location, content data of the inspected packets that correspond to packets exchanged with a selected subscriber end device of the plurality of subscriber end devices, aggregating, at the location, the content data selected, wherein the content data has not been previously aggregated, and outputting, at the location, results of the aggregation.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: A system and method is provided for calculating session initiation protocol (SIP) key performance indicators (KPIs) for multimedia communication in a network accessing network packets monitored over time. The method includes accessing network packets monitored over time, detecting a SIP response message of the monitored network packets, and accounting for the detected SIP response message in a time window of a series of consecutive time windows that includes the SIP response message's associated observed time. The SIP response message has an associated observed time at which the monitored SIP message was observed during monitoring. The method further includes pairing a SIP request message expected to be paired with the detected SIP response message with the detected SIP response message and accounting for the paired SIP request message in the time window with which the detected SIP response message is accounted.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: A system for performing computer network service chain analytics includes network-connected devices containing a plurality of virtual network functions having elements and a data model for storing a plurality of metrics related to the plurality of virtual network functions and a service chain intelligence engine in communication with the one or more network-connected devices and the data model. The memory device contains a set of instructions that causes a processor to analyze the plurality of virtual network functions to automatically identify one or more service chains, to automatically determine, using the data model, performance behavior characteristics of each element for each of the identified service chains and to automatically generate an alarm, in response to determining that the performance behavior characteristics of one or more elements of at least one of the identified one or more service chains does not meet a predefined set of the performance behavior characteristics.

Abstract: A network monitoring system that summarizes a plurality of data packets of a session into a compact session record for storage and processing. Each session record may be produced in real-time and made available during the session and/or after the termination of the session. Depending on protocols, a network monitoring system extracts different sets of information, removes redundant information from the plurality of data packets, and adds performance information to produce the session record. The network monitoring system may retrieve and process a single session record or multiple session records for the same or different protocols to determine cause of events, resolve issues in a network or evaluate network performance or conditions. The session record enables analysis in the units of session instead of individual packets. Hence, the network monitoring system can analyze events, issues or performance of the network more efficiently and effectively.

Abstract: Internet protocol packets are statelessly identified as associated with a particular session-instance by identifying a key, or session-instance identifier, within the data (or payload) portion of a user plane packet. This identifier is specific to the session-instance and remains constant throughout the session-instance. Using this stateless identification, transmitted user plane packets are automatically routed at the transmission speed of the transmission link using a method that automatically balances the analysis processing load between network probes. The load is balanced by routing the user plane packet to a network probe that is either already analyzing the session-instance or by routing the user plane packet to a system that has processing capacity to analyze a new session-instance. The network probe then analyzes the user plane packet and the session-instance to measure the quality of the user experience of the session-instance and performance of the network.

Abstract: Computer resources are managed by a method that includes deriving, from historical measurement information for a computer resource, values for statistical variables, and, based on the values, determining whether a behavioral pattern for the computer resource is represented in the historical measurement information.