Abstract: Systems, methods, and computer readable storage mediums are disclosed for scalable data collection and aggregation of statistics for logical objects of an application centric network. An analytics agent running on a logical object of an application centric network is elected as one of a Designated Stats device (DSD) or a Member Stats device (MSD). If the analytics agent is defined as a DSD, the analytics agent receives data reported from a downstream MSD communicated over the analytics plane and aggregates data from the MSD belonging to the same access control list rule. If the analytics agent is defined as an MSD, the analytics agent selects a DSD and reports the statistics to that DSD over the analytics plane.

Abstract: Techniques for generating a multi-layer network topology on a managed network are described herein. An example method includes receiving, from an internetworking device in a network, one or more encrypted packets in a flow; generating a classification decision corresponding to the flow by traversing one or more decision trees; and providing the classification decision to a controller of the network.

Abstract: Systems, methods, and computer readable storage mediums are disclosed for scalable data collection and aggregation of statistics for logical objects of an application centric network. An analytics agent running on a logical object of an application centric network is elected as one of a Designated Stats device (DSD) or a Member Stats device (MSD). If the analytics agent is defined as a DSD, the analytics agent receives data reported from a downstream MSD communicated over the analytics plane and aggregates data from the MSD belonging to the same access control list rule. If the analytics agent is defined as an MSD, the analytics agent selects a DSD and reports the statistics to that DSD over the analytics plane.

Abstract: Systems, methods, and computer readable storage mediums are disclosed for scalable data collection and aggregation of statistics for logical objects of an application centric network. An analytics agent running on a logical object of an application centric network is elected as one of a Designated Stats device (DSD) or a Member Stats device (MSD). If the analytics agent is defined as a DSD, the analytics agent receives data reported from a downstream MSD communicated over the analytics plane and aggregates data from the MSD belonging to the same access control list rule. If the analytics agent is defined as an MSD, the analytics agent selects a DSD and reports the statistics to that DSD over the analytics plane.

Abstract: Techniques for generating a multi-layer network topology on a managed network are described herein. An example method includes receiving, from an internetworking device in a network, one or more encrypted packets in a flow; generating a classification decision corresponding to the flow by traversing one or more decision trees; and providing the classification decision to a controller of the network.

Abstract: Techniques for generating a multi-layer network topology on a managed network are described herein. In an embodiment, data that was collected from a plurality of network devices within a managed network is received and analyzed within a multi-layered plurality of decision trees. The plurality of decision trees include a plurality of nodes, one overlay decision tree, and at least one underlay decision tree. The plurality of nodes include a set of logic nodes that communicatively couples the at least one underlay tree to one of the logic nodes on the overlay tree. The received data is then classified by the plurality of multi-layered decision trees.

Abstract: Techniques for generating a multi-layer network topology on a managed network are described herein. In an embodiment, data that was collected from a plurality of network devices within a managed network is received and analyzed within a multi-layered plurality of decision trees. The plurality of decision trees include a plurality of nodes, one overlay decision tree, and at least one underlay decision tree. The plurality of nodes include a set of logic nodes that communicatively couples the at least one underlay tree to one of the logic nodes on the overlay tree. The received data is then classified by the plurality of multi-layered decision trees.

Abstract: Systems, methods, and computer readable storage mediums are disclosed for scalable data collection and aggregation of statistics for logical objects of an application centric network. An analytics agent running on a logical object of an application centric network is elected as one of a Designated Stats device (DSD) or a Member Stats device (MSD). If the analytics agent is defined as a DSD, the analytics agent receives data reported from a downstream MSD communicated over the analytics plane and aggregates data from the MSD belonging to the same access control list rule. If the analytics agent is defined as an MSD, the analytics agent selects a DSD and reports the statistics to that DSD over the analytics plane.

Abstract: The present invention provides a method of and apparatus for setting a selling price of each of a plurality of items to be subsequently offered for sale to a plurality of prospective purchasers, the method including: accepting a plurality of expressions of interest in the items, each of the expressions of interest nominating at least a number of the items and an offer price; then determining a moving price from a plurality of factors including at least the plurality of nominated numbers of items and offer prices; then issuing the moving price on demand to the prospective purchasers; repeating the above steps; and then establishing the selling price based on the moving price and issuing the selling price.