Abstract: This disclosure relates to methods and systems for personalizing a network management system. For example, the method comprises receiving a user's credentials at a user device and, after validating the user's credentials, the user device receives at least one network element property describing a network element. The user device then displays the received network element property, the individual interface component functions and applications and interface display suited to that network, based on a predetermined display configuration associated with the validated user credentials based on both predetermined permissions as well as user created settings.

Abstract: This disclosure relates to methods and systems for personalizing a network management system. For example, the method comprises receiving a user's credentials at a user device and, after validating the user's credentials, the user device receives at least one network element property describing a network element. The user device then displays the received network element property, the individual interface component functions and applications and interface display suited to that network, based on a predetermined display configuration associated with the validated user credentials based on both predetermined permissions as well as user created settings.

Abstract: Embodiments are disclosed that provision a cloud-based service together with a dedicated network connection to provision a cloud-based service element. In response to the request both the cloud-based service element and a dedicated network connection are provisioned. Provisioning the cloud-based service element together with the dedicated network connection enables the cloud-based service element to utilize the dedicated network connection.

Abstract: This disclosure relates to methods and systems for personalizing a network management system. For example, the method comprises receiving a user's credentials at a user device and, after validating the user's credentials, the user device receives at least one network element property describing a network element. The user device then displays the received network element property, the individual interface component functions and applications and interface display suited to that network, based on a predetermined display configuration associated with the validated user credentials based on both predetermined permissions as well as user created settings.

Abstract: A method for inline data plane monitor placement and operation for network function virtualization involves receiving, at one or more control modules of a network, a logical monitoring specification. The logical monitoring specification includes a monitoring regime abstracted from a physical topology of the network. The one or more control modules perform one or more of instantiating or identifying one or more monitor instances of the network based on the logical monitoring specification, the one or more monitor instances being or having been instantiated within one or more data plane components of the network. The one or more control modules configure the one or more monitor instances based on the logical monitoring specification.

Abstract: A method for inline data plane monitor placement and operation for network function virtualization involves receiving, at one or more control modules of a network, a logical monitoring specification. The logical monitoring specification includes a monitoring regime abstracted from a physical topology of the network. The one or more control modules perform one or more of instantiating or identifying one or more monitor instances of the network based on the logical monitoring specification, the one or more monitor instances being or having been instantiated within one or more data plane components of the network. The one or more control modules configure the one or more monitor instances based on the logical monitoring specification.

Abstract: Embodiments are disclosed that provision a cloud-based service together with a dedicated network connection to provision a cloud-based service element. In response to the request both the cloud-based service element and a dedicated network connection are provisioned. Provisioning the cloud-based service element together with the dedicated network connection enables the cloud-based service element to utilize the dedicated network connection.

Abstract: Embodiments are disclosed that provision a cloud-based service together with a dedicated network connection to provision a cloud-based service element. In response to the request both the cloud-based service element and a dedicated network connection are provisioned. Provisioning the cloud-based service element together with the dedicated network connection enables the cloud-based service element to utilize the dedicated network connection.

Abstract: Embodiments providing improved systems and methods deploying, monitoring, and troubleshooting optical physical layer networks are needed. In one embodiment, networks are first constructed in a specialized network factory, where they are racked, provisioned, audited, and tested by relevant experts in each technology. Then the equipment is custom-crated—with all cards, patch cords, labels, and provisioning in place—before being shipped to field locations. A production network health baseline is captured that creates a set of norms that later performance data can be compared against. Once the network is operational, the network health is monitored and compared against the baseline. If there's a deviation sufficient to satisfy a user-defined rule, a remedial action can be triggered. In another embodiment, a method isolates a problem in an optical transport network.

Abstract: Embodiments providing improved systems and methods deploying, monitoring, and troubleshooting optical physical layer networks are needed. A baseline may be created and performance data is extracted. The performance data is compared against user-defined rules to determine an appropriate action. In one embodiment, networks are first constructed in a specialized network factory, where they are racked, provisioned, audited, and tested by relevant experts in each technology. In another embodiment, a method isolates a problem in an optical transport network. When a problem is identified, the layers are repeatedly evaluated to identify the device operating at the lowest layer where an error occurs. That device is identified as being likely faulty.

Abstract: Disclosed herein are system, method, and computer program product embodiments for dynamically applying network functions to traffic flows based on heuristics, policy conditions and client-specified conditions. A network monitors a network traffic flow to determine whether the network traffic flow meets a first criterion of a first rule. The criterion specifies that when the first criterion is met a network function be used to analyze or process the network traffic flow. When the network traffic flow is determined to meet the first criterion, the network determines a first route through the network to a network function provider that provides the network function and configures one or more routers along the first route to forward the network traffic flow to the network function provider for analysis or processing.

Abstract: Disclosed herein are system, method, and computer program product embodiments for dynamically applying PPP-based network functions to traffic flows based on heuristics, policy conditions, and client-specified conditions. A network monitors a network traffic flow to determine whether the network traffic flow meets a first criterion of a first rule. The criterion specifies that when the first criterion is met, a PPP-based network function be used to analyze or process the network traffic flow. When the network traffic flow is determined to meet the first criterion, the network determines a first route through the network to a PPP-based router that provides the PPP-based network function and configures one or more routers along the first route to forward the network traffic flow to the PPP-based router for analysis or processing.

Abstract: A method for providing a predicting bandwidth utilization for a customer of a connectivity service provider is disclosed. The method includes receiving bandwidth utilization data over time for a customer of a connectivity service provider. The method further includes training a machine learning model for the bandwidth utilization data during a time period based on the received data. In an embodiment, training the machine learning model includes determining a value for a parameter. The bandwidth utilization may be substantially periodic over the time period. Relying on the periodicity of the bandwidth utilization, the method further includes predicting, using the trained model, future bandwidth utilization over time.

Abstract: Disclosed herein are system, method, and computer program product embodiments for dynamically applying PPP-based network functions to traffic flows based on heuristics, policy conditions, and client-specified conditions. A network monitors a network traffic flow to determine whether the network traffic flow meets a first criterion of a first rule. The criterion specifies that when the first criterion is met, a PPP-based network function be used to analyze or process the network traffic flow. When the network traffic flow is determined to meet the first criterion, the network determines a first route through the network to a PPP-based router that provides the PPP-based network function and configures one or more routers along the first route to forward the network traffic flow to the PPP-based router for analysis or processing.

Abstract: Embodiments are disclosed that provision a cloud-based service together with a dedicated network connection to provision a cloud-based service element. In response to the request both the cloud-based service element and a dedicated network connection are provisioned. Provisioning the cloud-based service element together with the dedicated network connection enables the cloud-based service element to utilize the dedicated network connection.

Abstract: Embodiments are disclosed that provision a cloud-based service together with a dedicated network connection to provision a cloud-based service element. In response to the request both the cloud-based service element and a dedicated network connection are provisioned. Provisioning the cloud-based service element together with the dedicated network connection enables the cloud-based service element to utilize the dedicated network connection.

Abstract: In embodiments, methods and apparatus are disclosed for predicting bandwidth utilization for a customer of a connectivity service provider. A model that predicts bandwidth utilization is trained in a distributed manner at the network interface devices which connect customer networks to a connectivity service provider network, rather than in a centralized manner at a data center within the service provider network. The network interface devices leverage the storage of an aggregation server and the structure of bandwidth utilization trends to reduce the resources required to calculate the models. The distributed methodology allows for improved scalability in training bandwidth utilization models for all of the customers of the connectivity service provider.

Abstract: Disclosed herein are system, method, and computer program product embodiments for dynamically applying network functions to traffic flows based on heuristics, policy conditions and client-specified conditions. A network monitors a network traffic flow to determine whether the network traffic flow meets a first criterion of a first rule. The criterion specifies that when the first criterion is met a network function be used to analyze or process the network traffic flow. When the network traffic flow is determined to meet the first criterion, the network determines a first route through the network to a network function provider that provides the network function and configures one or more routers along the first route to forward the network traffic flow to the network function provider for analysis or processing.

Abstract: A method for providing a predicting bandwidth utilization for a customer of a connectivity service provider is disclosed. The method includes receiving bandwidth utilization data over time for a customer of a connectivity service provider. The method further includes training a machine learning model for the bandwidth utilization data during a time period based on the received data. In an embodiment, training the machine learning model includes determining a value for a parameter. The bandwidth utilization may be substantially periodic over the time period. Relying on the periodicity of the bandwidth utilization, the method further includes predicting, using the trained model, future bandwidth utilization over time.

Abstract: Disclosed herein are system, method, and computer program product embodiments for dynamically applying network functions to traffic flows based on heuristics, policy conditions and client-specified conditions. A network monitors a network traffic flow to determine whether the network traffic flow meets a first criterion of a first rule. The criterion specifies that when the first criterion is met a network function be used to analyze or process the network traffic flow. When the network traffic flow is determined to meet the first criterion, the network determines a first route through the network to a network function provider that provides the network function and configures one or more routers along the first route to forward the network traffic flow to the network function provider for analysis or processing.