Abstract: A DNS proxy may tag DNS requests from a virtual network with a separating identifier, such as a virtual network ID, before forwarding them to a shared DNS server. This can allow each virtual network to have its own namespace and avoid naming conflicts. The shared DNS server can examine the tagged DNS requests to respond to the DNS requests using the local namespace as identified by the separating identifier.

Abstract: A DNS proxy may tag DNS requests from a virtual network with a separating identifier, such as a virtual network ID, before forwarding them to a shared DNS server. This can allow each virtual network to have its own namespace and avoid naming conflicts. The shared DNS server can examine the tagged DNS requests to respond to the DNS requests using the local namespace as identified by the separating identifier.

Abstract: Computerized methods, systems, and computer-storage media for fairly sharing available bandwidth among endpoints (including physical or virtual machines) of a multitenant environment are provided. Initially, a load balancer of the network is programmed to monitor bandwidth used by the endpoints, respectively, and to compare an aggregation of the usage against a network threshold. Also, the load balancer is equipped to dynamically classify the endpoints using the respective monitored bandwidth. Classifying generally involves designating some endpoints as small entities, which individually consume an amount of bandwidth less than an endpoint threshold, and designating other endpoints as large entities, which individually consume an amount of bandwidth greater than the endpoint threshold.

Abstract: Computerized methods, systems, and computer-storage media for fairly sharing available bandwidth among endpoints (including physical or virtual machines) of a multitenant environment are provided. Initially, a load balancer of the network is programmed to monitor bandwidth used by the endpoints, respectively, and to compare an aggregation of the usage against a network threshold. Also, the load balancer is equipped to dynamically classify the endpoints using the respective monitored bandwidth. Classifying generally involves designating some endpoints as small entities, which individually consume an amount of bandwidth less than an endpoint threshold, and designating other endpoints as large entities, which individually consume an amount of bandwidth greater than the endpoint threshold.

Abstract: A classification system automatically generates an indication that a training feature vector case is a pollutant based on a mis-labelled reference image. It excludes the case from the set, builds a k-nearest neighbour confidence classifier, and then classifies the case using this classifier. The case may be marked as suspect if its classification does not match what is determined, or if they do match, if the confidence level is below a threshold. The system can automatically remove or re-label all suspect cases.