Abstract: A network visibility appliance automatically and dynamically determines a data traffic sampling policy that it should apply, i.e., a policy for determining which flows the network appliance should forward to one or more tools. The technique can be used to adjust for changes in network traffic to avoid exceeding performance constraints (e.g., maximum throughput) of network analytic tools, while maintaining high efficiency of usage of the tools. In the technique, a policy engine monitors network traffic characteristics in a subscriber throughput table and dynamically determines a sampling policy to apply, so as to decrease and/or increase traffic throughput to a given tool, so that the tool is efficiently used.

Abstract: A network visibility appliance automatically and dynamically determines a data traffic sampling policy that it should apply, i.e., a policy for determining which flows the network appliance should forward to one or more tools. The technique can be used to adjust for changes in network traffic to avoid exceeding performance constraints (e.g., maximum throughput) of network analytic tools, while maintaining high efficiency of usage of the tools. In the technique, a policy engine monitors network traffic characteristics in a subscriber throughput table and dynamically determines a sampling policy to apply, so as to decrease and/or increase traffic throughput to a given tool, so that the tool is efficiently used.

Abstract: A method of deployment of virtual machines (VMs) including receiving traffic having characteristics from clients and based on the traffic, dynamically bringing up son VMs and when the traffic goes down, removing the son VMs. Sharing a cache between the son VMs by the VMs directly accessing the cache when receiving traffic from existing clients and performing encryption/decryption for new clients.

Abstract: A cloud includes an application delivery controller (ADC) receives traffic intended for a specific application, from a user, the specific application being executed by a virtual machine (VM). The ADC detects the received traffic as an attack traffic, the received traffic being intended for routing through software defined network (SDN) switches. The cloud further includes a controller that is in communication with the ADC and that launches virtual machines (VMs) based on the detected attack traffic. The controller re-configures the SDN switches from routing the received traffic to the VM that is executing the specific application to re-routing the received traffic, as the attack traffic, to one or more of the launched VMs.

Abstract: A multi-cloud fabric system is disclosed to include a services controller in communication with resources of more than one cloud and responsive to policies from a user. The services controller monitors service level agreement (SLA), service assurance, and high availability and based thereon and on the policies from the user, moves resources across clouds of the more than one cloud to optimize performance of the system.

Abstract: A multi-cloud fabric system includes a compiler that receives a data model and automatically generate artifacts for use by a plurality of plugins, the artifacts being distinct for each of the plugins, the artifacts used to create an image of a user interface (UI). A UI tier receives the image of the UI to create a user UI. Therefore, user UI is generated automatically and the multi-cloud fabric system is data-driven to support multiple users.

Abstract: A method of managing a service level agreement (SLA) of a data center includes receiving information from a plurality of SLA agents, aggregating the received information and automatically scaling-up or scaling-down network service, network application, or network servers of the data center to meet the SLA.