Abstract: A system includes a first processor configured to analyze packets received over a communication protocol system and determine one or more congestion indicators from the analysis of the data packets, the one or more congestion indicators being indicative of network congestion for data packets transmitted over a reliable transport protocol layer of the communication protocol system. The system also includes a rate update engine separate from the packet datapath and configured to operate a second processor to receive the determined one or more congestion indicators, determine one or more congestion control parameters for controlling transmission of data packets based on the received one or more congestion indicators, and output a congestion control result based on the determined one or more congestion control parameters.

Abstract: Techniques for automatically claiming switches of a tenant computer network by a remote, cloud-based network controller. A first seed switch is manually claimed by a user by implementing the remote, cloud-based network controller. After claiming the seed switch a set of switches immediately connected with the seed switch are identified by Device Connector logic in the seed switch and immediately connected switches. Switches directly connected to those switches are then identified using Device Connector logic of the switches. This process is performed iteratively by identifying immediately connected switches until all of the switches are identified. All or a subset of the identified switches can then be claimed by the remote, cloud-based controller based on a response from the tenant network user.

Abstract: A method for providing a managed networking service for a cloud computing system enables users to consume managed virtualized network functions (VNFs) at edge locations. The method includes registering a plurality of third-party vendors for the managed networking service. The plurality of third-party vendors provide a plurality of VNFs for the managed networking service. The method also includes receiving user input from a user of the cloud computing system. The user input includes a request to deploy the plurality of VNFs at an edge location. The plurality of VNFs can be provided by different third-party vendors through the managed networking service. The method also includes causing the plurality of VNFs to be deployed on an edge device that is located at the edge location. The plurality of VNFs can be represented as logical entities in a database that is utilized by the managed networking service.

Abstract: The disclosed embodiments provide a system that detects sensor anomalies in a univariate time-series signal. During a surveillance mode, the system receives the univariate time-series signal from a sensor in a monitored system. Next, the system performs a staggered-sampling operation on the univariate time-series signal to produce N sub-sampled time-series signals, wherein the staggered-sampling operation allocates consecutive samples from the univariate time-series signal to the N sub-sampled time-series signals in a round-robin ordering. The system then uses a trained inferential model to generate estimated values for the N sub-sampled time-series signals based on cross-correlations with other sub-sampled time-series signals. Next, the system performs an anomaly detection operation to detect incipient sensor anomalies in the univariate time-series signal based on differences between actual values and the estimated values for the N sub-sampled time-series signals.

Abstract: A method for providing a managed networking service for a cloud computing system enables users to consume managed virtualized network functions (VNFs) at edge locations. The method includes registering a plurality of third-party vendors for the managed networking service. The plurality of third-party vendors provide a plurality of VNFs for the managed networking service. The method also includes receiving user input from a user of the cloud computing system. The user input includes a request to deploy the plurality of VNFs at an edge location. The plurality of VNFs can be provided by different third-party vendors through the managed networking service. The method also includes causing the plurality of VNFs to be deployed on an edge device that is located at the edge location. The plurality of VNFs can be represented as logical entities in a database that is utilized by the managed networking service.

Abstract: Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments.

Abstract: A method for providing a managed networking service for a cloud computing system enables users to consume managed virtualized network functions (VNFs) at edge locations. The method includes registering a plurality of third-party vendors for the managed networking service. The plurality of third-party vendors provide a plurality of VNFs for the managed networking service. The method also includes receiving user input from a user of the cloud computing system. The user input includes a request to deploy the plurality of VNFs at an edge location. The plurality of VNFs can be provided by different third-party vendors through the managed networking service. The method also includes causing the plurality of VNFs to be deployed on an edge device that is located at the edge location. The plurality of VNFs can be represented as logical entities in a database that is utilized by the managed networking service.

Abstract: Techniques for maintaining virtual routing and forwarding (VRF) segregation for network paths through multi-cloud fabrics that utilize shared services, e.g., application load balancers. The router of a first network of a multi-cloud fabric receives a first data packet from a source end-point group within the first network and forwards the first data packet to a service end-point group. The service end-point group may forward the first data packet to a destination end-point group of a second network of the multi-cloud fabric. The service end-point group may receive a second data packet from the destination end-point group and forward the second data packet to the router. Based on one of (i) an identity of the service end-point group or (ii) an address of the source end-point group, a VRF may be identified and the second data packet may be forwarded by the router to the source end-point group using the VRF.

Abstract: A method for providing a managed networking service for a cloud computing system enables users to consume managed virtualized network functions (VNFs) at edge locations. The method includes registering a plurality of third-party vendors for the managed networking service. The plurality of third-party vendors provide a plurality of VNFs for the managed networking service. The method also includes receiving user input from a user of the cloud computing system. The user input includes a request to deploy the plurality of VNFs at an edge location. The plurality of VNFs can be provided by different third-party vendors through the managed networking service. The method also includes causing the plurality of VNFs to be deployed on an edge device that is located at the edge location. The plurality of VNFs can be represented as logical entities in a database that is utilized by the managed networking service.