Abstract: A capability is provided for providing transparent cloud computing with a virtualized network infrastructure. A method for enabling use of a resource of a data center as an extension of a customer network includes receiving, at a forwarding element (FE), a packet intended for a virtual machine hosted at an edge domain of the data center, determining a VLAN ID of the VLAN for the customer network in the edge domain, updating the packet to include the VLAN ID of the VLAN for the customer network in the edge domain, and propagating the updated packet from the FE toward virtual machine. The edge domain supports a plurality of VLANs for a respective plurality of customer networks. The packet includes an identifier of the customer network and a MAC address of the virtual machine. The VLAN ID of the VLAN for the customer network in the edge domain is determined using the identifier of the customer network and the MAC address of the virtual machine.

Abstract: A manner of providing redundancy protection for a data center network that is both reliable and low-cost. In a data center network where the data traffic between numerous access nodes and a network core layer via primary aggregation nodes, an optical network device such as and OLT (optical line terminal) is provided as a backup aggregation node for one or more of the primary aggregation nodes. When a communication path through a primary aggregation node fails, traffic is routed through the optical network device. In a preferred embodiment, a communication link is formed from a plurality of access nodes to a single port of the OLT or other optical network device via an optical splitter that combines upstream transmissions and distributes downstream transmissions. The upstream transmissions from the plurality of access nodes may occur according to an allocation schedule generated when the backup aggregation node is needed.

Abstract: A method and apparatus providing improved set membership determination and group membership identification of candidate data elements using a single Bloom filter programmed to provide a plurality of non-zero f-bit binary vectors, where each of the f-bit binary vectors is associated with a respective group. The Bloom filter is programmed using one or more (but not all) of a plurality of hash filter sets.

Abstract: Method and apparatus using incremental linear regression to derive a traffic flow signature indicative of a particular application within a packet stream.

Abstract: Example embodiments are directed to methods of hashing for networks and systems thereof. At least one example embodiment provides a method of processing elements in a system. The method includes receiving a first element, generating a first plurality of hash values based on the first element and a first plurality of hash functions, determining a first plurality of buckets in a table based on the first plurality of hash values, each of the first plurality of buckets associated with a different one of the hash values, selecting one of the first plurality of buckets, storing a first associated value in the selected bucket, the first associated value being associated with the first element, and encoding an identifier (ID) of the hash function generating the hash value associated with the selected bucket into a filter based on the hash value.

Abstract: Packets are processed (e.g., routed or classified) in accordance with a braided trie, which represents the combination of two or more different original tries (e.g., representing different forwarding/classification tables). The different tries are combined by twisting the mappings for specific trie nodes to make the shapes of the different tries more similar. Each node in the braided trie contains a braiding bit for at least one original trie indicating the mapping for that trie's node. Trie braiding can significantly reduce the number of nodes used to represent the different original tries, thereby reducing memory usage and improving scalability. Braided tries can be used for such applications as virtual routers and packet classification in which different forwarding/classification tables are represented by a single braided trie stored in shared memory.

Abstract: A line-rate, real-time-traffic detector classifies a network traffic flow as real-time when it determines the smoothness of the packet arrival rate of the network traffic flow is bounded by an empirically derived bound. In some embodiments, to improve performance, a tighter smoothness bound is applied to the smoothness calculations performed on a first set of packet arrival times, while a looser smoothness bound is applied to a second set of packet arrival times, the second set inclusive of and larger than the first.

Abstract: Congestion in connection-oriented data networks is alleviated by simulating the rerouting of circuits to uncongested parts of the network and then rerouting such circuits in a manner that causes little, or no, disruption to other parts of the network.

Abstract: In one embodiment, IP lookup into a routing table having prefixes of different prefix lengths is performed using a Bloom filter that was programmed with the prefixes corresponding to all of the different prefix lengths without having to expand any of the prefixes programmed into the Bloom filter. Membership probes are performed into the Bloom filter using candidate prefix values of a given network address. The Bloom filter can be implemented in a distributed manner using Bloom sub-filters, where each Bloom sub-filter is hashed based on a set of hash functions, where each different hash function in the set corresponds to a different prefix length in the routing table. Each Bloom sub-filter can in turn be implemented using a plurality of practically realizable multi-port memory devices controlled by a port scheduler. False-positive matches can be detected and next-hop information for true-positive matches retrieved using an off-chip, hash-based prefix table.

Abstract: In one embodiment, IP lookup into a routing table having prefixes of different prefix lengths is performed by hashing a candidate prefix value to generate a plurality of hash values, where m seed hash values are generated by applying m seed hash functions and one or more additional hash values are generated by combining two or more of the seed hash values in different ways, e.g., using a bit-wise XOR function. The hash values are used to perform membership probes into a Bloom filter programmed with the prefixes corresponding to all of the different prefix lengths in the routing table without having to expand any of the prefixes programmed into the Bloom filter.

Abstract: A method for measuring flow is disclosed. The method includes receiving an IP packet; determining if another IP packet is stored in a register; if another IP packet is stored in the register, comparing the stored IP packet with the received IP packet; and determining the longest match between the stored IP packet and the received IP packet.

Abstract: A capability is provided for representing a set of data values using data structures, including converting a binary trie data structure representing the set of data values to a shape graph data structure representing the set of data values. The shape graph data structure is generated from the binary trie data structure based on the shapes of the sub-trees rooted at the nodes of the binary trie data structure. The shape graph includes vertices representing shapes of the sub-trees of the binary trie data structure. A shape graph data structure permits operations similar to the operations that may be performed on the binary trie data structure for performing lookups for data values from the set of data values, while at the same time reducing the structural redundancy of the binary trie data structure such that the shape graph data structure provides significant improvements in memory usage over the binary trie data structure.

Abstract: The invention includes a method and apparatus for determining a coincidence count associated with a traffic flow in a network. The method includes receiving a first packet having a first flow identifier associated with one of the traffic flows, comparing the first flow identifier of the first packet to each of a plurality of other flow identifiers associated with a respective plurality of other packets, and determining a coincidence count associated with the first flow identifier based on the comparison of the first flow identifier to each of the plurality of other flow identifiers. The method for determining a coincidence count associated with one of a plurality of traffic flows may be extended for determining respective coincidence counts associated with a plurality of traffic flows. The determined coincidence counts may be used for determining at least one traffic flow statistic.

Abstract: A capability is provided for providing transparent cloud computing with a virtualized network infrastructure. A method for enabling use of a resource of a data center as an extension of a customer network includes receiving, at a forwarding element (FE), a packet intended for a virtual machine hosted at an edge domain of the data center, determining a VLAN ID of the VLAN for the customer network in the edge domain, updating the packet to include the VLAN ID of the VLAN for the customer network in the edge domain, and propagating the updated packet from the FE toward virtual machine. The edge domain supports a plurality of VLANs for a respective plurality of customer networks. The packet includes an identifier of the customer network and a MAC address of the virtual machine. The VLAN ID of the VLAN for the customer network in the edge domain is determined using the identifier of the customer network and the MAC address of the virtual machine.

Abstract: A method and system for generating a bloom filter by mapping into respective groups each of a plurality of initial keys according to a first hash function and mapping each group hashed key into a bloom filter using k respective hash functions.

Abstract: The present invention provides a method and apparatus for a distributed virtual home agent. One embodiment of the method includes implementing a first primary home agent on a first portion of a plurality of hardware elements that operate according to a mobile Internet Protocol (IP) and a second primary home agent on a second portion of the plurality of hardware elements. A first backup home agent is implemented on the second portion of the plurality of hardware elements and a second backup home agent is implemented on the first portion of the plurality of hardware elements. Packets addressed to the first or second primary home agent can be directed to both the first and second portions of the plurality of hardware elements so that states of the first and second backup home agents mirror states of the first and second primary home agents, respectively.

Abstract: A line-rate, real-time-traffic detector classifies a network traffic flow as real-time when it determines the smoothness of the packet arrival rate of the network traffic flow is bounded by an empirically derived bound. In some embodiments, to improve performance, a tighter smoothness bound is applied to the smoothness calculations performed on a first set of packet arrival times, while a looser smoothness bound is applied to a second set of packet arrival times, the second set inclusive of and larger than the first.

Abstract: Method and apparatus using incremental linear regression to derive a traffic flow signature indicative of a particular application within a packet stream.

Abstract: The invention is directed to providing cloud-based services using dynamic network virtualization. Embodiments of the invention provide a cloud-based service over a system that has a dynamic network virtualization architecture. The architecture includes a set of distributed forwarding elements with centralized control, and at least one virtual machine that is bound to one of the forwarding elements. These features enable the virtual machine to be migrated across a wide area network while maintaining its original IP address and service continuity.

Abstract: Packets are processed (e.g., routed or classified) in accordance with a braided trie, which represents the combination of two or more different original tries (e.g., representing different forwarding/classification tables). The different tries are combined by twisting the mappings for specific trie nodes to make the shapes of the different tries more similar. Each node in the braided trie contains a braiding bit for at least one original trie indicating the mapping for that trie's node. Trie braiding can significantly reduce the number of nodes used to represent the different original tries, thereby reducing memory usage and improving scalability. Braided tries can be used for such applications as virtual routers and packet classification in which different forwarding/classification tables are represented by a single braided trie stored in shared memory.