Abstract: Many hybrid cloud topologies require virtual machines in a public cloud to use a router in a private cloud, even when the virtual machine is transmitting to another virtual machine in the public cloud. Routing data through an enterprise router on the private cloud via the internet is generally inefficient. This problem can be overcome by placing a router within the public cloud that mirrors much of the routing functionality of the enterprise router. A switch configured to intercept address resolution protocol (ARP) request for the enterprise router's address and fabricate a response using the MAC address of the router in the public cloud.

Abstract: Many hybrid cloud topologies require virtual machines in a public cloud to use a router in a private cloud, even when the virtual machine is transmitting to another virtual machine in the public cloud. Routing data through an enterprise router on the private cloud via the internet is generally inefficient. This problem can be overcome by placing a router within the public cloud that mirrors much of the routing functionality of the enterprise router. A switch configured to intercept address resolution protocol (ARP) request for the enterprise router's address and fabricate a response using the MAC address of the router in the public cloud.

Abstract: An approach for managing the consumption of resources uses adaptive random sampling to decrease the collection of flow statistical data as the consumption of resources increases. When a packet is received from a network, a determination is made whether the packet belongs to an existing flow, for which flow statistical data is being collected, or to a new flow. If the packet belongs to an existing flow, then the flow statistical data for the existing flow is updated to reflect the packet. If the packet belongs to the new flow, then a sampling probability is used to determine whether the new flow is to be sampled. The sampling probability is determined, at least in part, upon a current usage of resources.

Abstract: Methods and apparatus are disclosed for defining flow types and instances thereof such as for identifying packets corresponding to instances of the flow types. A flow type is defined and includes a set of properties including at least one of the possible properties selectable when defining a flow type. An instance of the flow type is defined and a set of corresponding associative memory entries is generated. A lookup word generator of a packet processing engine is typically notified of the use of the flow type, and one or more lookup words are generated typically by extracting fields from a received packet and/or from other sources. Based on a result of lookup operations on the set of associative memories entries using the generated one or more lookup words, the received packet can be identified as whether it matches or does not match the instance of the flow type.

Abstract: An approach for managing the consumption of resources uses adaptive random sampling to decrease the collection of flow statistical data as the consumption of resources increases. When a packet is received from a network, a determination is made whether the packet belongs to an existing flow, for which flow statistical data is being collected, or to a new flow. If the packet belongs to an existing flow, then the flow statistical data for the existing flow is updated to reflect the packet. If the packet belongs to the new flow, then a sampling probability is used to determine whether the new flow is to be sampled. The sampling probability is determined, at least in part, upon a current usage of resources.