Abstract: A method for analyzing network incidents within a network and providing prioritized remediation recommendations is disclosed. The method includes: receiving network data and computing a plurality of network incidents from the network data, collecting network incidents related to a particular network issue over a time period and grouping the network incidents according to root-cause symptoms, generating a network incident graph by superimposing groups of network incidents over a network graph, analyzing the network incident graph to identify localized areas with systemic issues; and based on the analysis of the network incident graph, generating and displaying a list of remediation recommendations. Each remediation recommendation includes a systemic issue in the network, a remediation to resolve the issue, and a quantified expected benefit from implementing the remediation.

Abstract: A system and method is disclosed of extracting information from real-time network data to analyze roaming data for client devices in a network. The method includes: detecting when the client devices initiate roaming association events, buffering other data regarding the detected roaming association events, sending roaming event information to an analytics system for network incident and network congestion analysis, analyzing the roaming event information, identifying one or more root causes of the detected network incidents; and determining remediation of the identified one or more root causes of the detected network incidents.

Abstract: A system and method is disclosed of extracting information from real-time network packet data to analyze connectivity data for client devices in a network. The method includes: detecting when client devices initiate a connectivity event; after detecting a connectivity event, waiting a period of time for the client device to either reach or fail to reach a network connected state; after waiting a period of time, recording connectivity event information; and sending the recorded connectivity event information to an analytics system for network incident and/or network congestion analysis.

Abstract: A system and method for client network congestion analysis and management is disclosed. According to one embodiment, the method includes: collecting real-time network data; executing calculations on the real-time network data to compute performance metrics; detecting peak usage time; and detecting one or more congestion incidents, wherein a congestion incident comprises a persistence of one or more metrics over a time window that comprises detecting a proportion of metric values crossing a threshold that exceeds a defined percentage amount, detecting a time-ordered stretch of metric values that exceeds a defined threshold, or combinations thereof.

Abstract: A system and method for automatic detection of a network incident from real-time network data is disclosed. The method includes: collecting real-time network data; executing performance calculations on the real-time network data to compute performance metrics; and detecting a pattern over a time window, wherein detecting a pattern includes detecting a proportion of metric values crossing a threshold exceeding a defined percentage amount, detecting a presence of a sequence of metric values, detecting a time-ordered stretch of metric values with a length of the time-ordered stretch exceeding a defined threshold, detecting a cyclical presence of a sequence of metric values, or combinations thereof.

Abstract: Data center network architectures that can reduce the cost and complexity of data center networks. The data center network architectures can employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. The data center network architectures also allow computing resources within data center networks to be controlled and provisioned based at least in part on a combined network topology and application component topology, thereby enhancing overall application program performance.

Abstract: Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated with the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Abstract: Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance. Using an affinity topology describing requirements for communications between applications and a network topology, network nodes are configured to satisfy multicast dispersion and latency requirements associated with communications between applications.

Abstract: A system and method for automatic detection of a network incident from real-time network data is disclosed. The method includes: collecting real-time network data; executing performance calculations on the real-time network data to compute performance metrics; and detecting a pattern over a time window, wherein detecting a pattern includes detecting a proportion of metric values crossing a threshold exceeding a defined percentage amount, detecting a presence of a sequence of metric values, detecting a time-ordered stretch of metric values with a length of the time-ordered stretch exceeding a defined threshold, detecting a cyclical presence of a sequence of metric values, or combinations thereof.

Abstract: A system and method is disclosed of extracting information from real-time network packet data to analyze connectivity data for client devices in a network. The method includes: detecting when client devices initiate a connectivity event; after detecting a connectivity event, waiting a period of time for the client device to either reach or fail to reach a network connected state; after waiting a period of time, recording connectivity event information; and sending the recorded connectivity event information to an analytics system for network incident and/or network congestion analysis.

Abstract: A system and method for client network congestion analysis and management is disclosed. According to one embodiment, the method includes: collecting real-time network data; executing calculations on the real-time network data to compute performance metrics; detecting peak usage time; and detecting one or more congestion incidents, wherein a congestion incident comprises a persistence of one or more metrics over a time window that comprises detecting a proportion of metric values crossing a threshold that exceeds a defined percentage amount, detecting a time-ordered stretch of metric values that exceeds a defined threshold, or combinations thereof.

Abstract: Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance. Using an affinity topology describing requirements for communications between applications and a network topology, network nodes are configured to satisfy multicast dispersion and latency requirements associated with communications between applications.

Abstract: Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated with the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Abstract: Data center networks that employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such data center networks employ at least one central controller for controlling and provisioning computing resources within the data center networks based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Abstract: Systems and methods of affinity modeling in data center networks that allow bandwidth to be efficiently allocated with the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such systems and methods of affinity modeling in data center networks further allow computing resources within the data center networks to be controlled and provisioned based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Abstract: Data center network architectures that can reduce the cost and complexity of data center networks. The data center network architectures can employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. The data center network architectures also allow computing resources within data center networks to be controlled and provisioned based at least in part on a combined network topology and application component topology, thereby enhancing overall application program performance.

Abstract: Data center network architectures that can reduce the cost and complexity of data center networks. The data center network architectures can employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. The data center network architectures also allow computing resources within data center networks to be controlled and provisioned based at least in part on a combined network topology and application component topology, thereby enhancing overall application program performance.

Abstract: Data center networks that employ optical network topologies and optical nodes to efficiently allocate bandwidth within the data center networks, while reducing the physical interconnectivity requirements of the data center networks. Such data center networks provide a hierarchy of control for controlling and provisioning computing resources within the data center networks based at least in part on the network topology and an application component topology, thereby enhancing overall application program performance.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes a plurality of network elements, a programmable network element, and one or more collectors. The one or more collectors are configured to collects filtered network traffic data from the plurality of network elements based on a time-varying schedule.

Abstract: A system and method for observing and controlling a programmable network via higher layer attributes is disclosed. According to one embodiment, the system includes one or more collectors and a programmable network element. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network and extract metadata from the network traffic data. The programmable network element is programmed based on the metadata received from the plurality of network elements in the network.