Vmware, Inc.

Plexxi Inc.

Nyansa, Inc.

Velocloud Networks, LLC

Anand Srinivas

Murtaza Zafer

Denis deRuijter

David J Husak

Richard Barry

Daniel Kan

Abraham Ankumah

Balachander Chandrasekaran

Sameer Naik

Xiao H Gao

Stephen Craig Connors

Brennan Marshall Young

Yunxi Li

Akhilesh Gadde

S M S Hossain

Some embodiments provide a method for implementing a software-defined private mobile network (SD-PMN) for an entity. At a physical location of the entity, the method deploys a first set of control plane components for the SD-PMN, the first set of control plane components including a security gateway, a user-plane function (UPF), an AMF (access and mobility management function), and an SMF (session management function). At an SD-WAN (software-defined wide area network) PoP (point of presence) belonging to a provider of the SD-PMN, the method deploys a second set of control plane components for the SD-PMN that includes a subscriber database that stores data associated with users of the SD-PMN. The method uses an SD-WAN edge router located at the physical location of the entity and a SD-WAN gateway located at the SD-WAN PoP to establish a connection from the physical location of the entity to the SD-WAN PoP.

Split control plane for private mobile network

Some embodiments of the invention provide a method of remediating anomalies in an SD-WAN implemented by multiple forwarding elements (FEs) located at multiple sites connected by the SD-WAN. The method determines that a particular anomaly detected in the SD-WAN requires remediation to improve performance for a set of one or more flows traversing through the SD-WAN. The method identifies a set of two or more remedial actions for remediating the particular anomaly in the SD-WAN. For each identified remedial action in the set, the method selectively implements the identified remedial action for a subset of the set of flows for a duration of time in order to collect a set of performance metrics associated with SD-WAN performance during the duration of time for which the identified remedial action is implemented. Based on the collected sets of performance metrics, the method uses a machine-trained process to select one of the identified remedial actions as an optimal remedial action in the set to implement for all of the flows in the set of flows. The method implements the selected remedial action for all of the flows in the set of flows.

Remediating anomalies in a self-healing network

SASE services for private mobile network

Some embodiments of the invention provide a method for forwarding control and data plane messages in an SD-PMN that includes a split control plane architecture. A first set of control plane components including a UPF is deployed to each of multiple branch sites connected by the SD-PMN and a second set of control plane components including a security gateway, an AMF, an SMF, and a UDM is deployed to each of multiple SD-WAN PoPs connected by the SD-PMN. The method is performed at a UPF at a branch site. The method establishes GTP tunnels with a set of physical access points at the branch site. The method receives a first data message encapsulated with a GTP header from one of the physical access points. The method removes the GTP header from the first data message, converts the first data message to IP traffic, and forwards the first data message as IP traffic toward its destination.

Some embodiments of the invention provide a method of detecting and remediating anomalies in an SD-WAN implemented by multiple forwarding elements (FEs) located at multiple sites connected by the SD-WAN. The method receives, from the multiple FEs, multiple sets of flow data associated with application traffic that traverses the multiple FEs. The method uses a first set of machine-trained processes to analyze the multiple sets of flow data in order to identify at least one anomaly associated with at least one particular FE in the multiple FEs. The method uses a second set of machine-trained processes to identify at least one remedial action for remediating the identified anomaly. The method implements the identified remedial action by directing an SD-WAN controller deployed in the SD-WAN to implement the identified remedial action.

Identifying and remediating anomalies in a self-healing network

Some embodiments of the invention provide a method of remediating anomalies in an SD-WAN implemented by multiple forwarding elements (FEs) located at multiple sites connected by the SD-WAN. The method is performed iteratively. The method receives multiple performance metrics that over a duration of time express a performance of the SD-WAN for at least one particular application associated with flows that traverse the SD-WAN during the time duration. The method uses the received performance metrics to update generated weight values for a topology graph that includes (1) multiple nodes representing the multiple FEs and (2) multiple edges between the multiple nodes representing paths traversed between the FEs by the flows associated with the particular application, said generated weight values associated with said paths. The method uses a topology-based machine-trained process to analyze the topology graph with the generated weight values in order to identify an anomaly in the topology graph that is indicative of an anomaly the SD-WAN for the particular application's traffic flows. For an identified anomaly, the method implements a remedial action to modify the SD-WAN in order to remediate the identified anomaly.

Joint orchestration for private mobile network

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 remote network manager. The one or more collectors are configured to receive network traffic data from a plurality of network elements in the network. The remote network manager is configured to connect to the one or more collectors over the Internet via a network interface. The one or more collectors extract metadata from the network traffic data and send the metadata to the network manager.

System and method for observing and controlling a programmable network using cross network learning

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.

System and method for using real-time packet data to detect and manage network issues

System and method for observing and controlling a programmable network using time varying data collection

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.

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San Francisco, CA, United States of America

Anand Srinivas