Barefoot Networks, Inc.

Masoud Moshref Javadi

Changhoon Kim

Patrick W Bosshart

Anurag Agrawal

Jeongkeun Lee

Georgios Nikolaidis

Ethan M Spiegel

Xiaozhou Li

Some embodiments of the invention provide a forwarding element that has a data-plane circuit (data plane) that can be configured to implement a DDoS (distributed denial of service) attack detector. The data plane has several stages of configurable data processing circuits, which are typically configured to process data tuples associated with data messages received by the forwarding element in order to forward the data messages within a network. In some embodiments, the configurable data processing circuits of the data plane can also be configured to implement a DDoS attack detector (DDoS detector) in the data plane. In some embodiments, the forwarding element has a control-plane circuit (control plane) that configures the configurable data processing circuits of the data plane, while in other embodiments, a remote controller configures these data processing circuits.

Forwarding element with a data plane DDoS attack detector

Some embodiments provide a network forwarding element with a data-plane forwarding circuit that has a parameter collecting circuit to store and distribute parameter values computed by several machines in a network. In some embodiments, the machines perform distributed computing operations, and the parameter values that compute are parameter values associated with the distributed computing operations. The parameter collecting circuit of the data-plane forwarding circuit (data plane) in some embodiments (1) stores a set of parameter values computed and sent by a first set of machines, and (2) distributes the collected parameter values to a second set of machines once it has collected the set of parameter values from all the machines in the first set. The first and second sets of machines are the same set of machines in some embodiments, while they are different sets of machines (e.g., one set has at least one machine that is not in the other set) in other embodiments. In some embodiments, the parameter collecting circuit performs computations on the parameter values that it collects and distributes the result of the computations once it has processed all the parameter values distributed by the first set of machines. The computations are aggregating operations (e.g., adding, averaging, etc.) that combine corresponding subset of parameter values distributed by the first set of machines.

Forwarding element data plane performing floating point computations

Forwarding element data plane with computing parameter distributor

Some embodiments of the invention provide a method for reporting congestion in a network that includes several forwarding elements. In a data plane circuit of one of the forwarding elements, the method detects that a queue in the switching circuit of the data plane circuit is congested, while a particular data message is stored in the queue as it is being processed through the data plane circuit. In the data plane circuit, the method then generates a report regarding the detected queue congestion, and sends this report to a data collector external to the forwarding element. To send the report, the data plane circuit in some embodiments duplicates the particular data message, stores it in the duplicate data message information regarding the detected queue congestion, and sends the duplicate data message to the external data collector.

Identifying congestion in a network

Some embodiments of the invention provide a data-plane forwarding circuit (data plane) that has a flow-size detection circuit that generates flow-size density distribution for all or some of the data message flows that it processes for forwarding in a network. The flow-size (FS) detection circuit in some embodiments generates statistical values regarding the processed data message flows, and based on these statistical values, it generates a FS density distribution that expresses a number of flows in different flow-size sub-ranges in a range of flow sizes. In some embodiments, the density distribution is a probabilistic density distribution that is based on probabilistic statistical values that the flow-size detection circuit generates for the data message flows that are processed for forwarding within the network. The FS detection circuit in some embodiments generates probabilistic statistical values for the data message flows by generating hash values from header values of the data message flows and accumulating flow-size values at memory locations identified by the generated hash values. In some embodiments, the generated hashes for different data message flows can collide, which results in the accumulated flow-size values being probabilistic values that might have a certain level of inaccuracy.

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Sunnyvale, CA, United States of America

Masoud Moshref Javadi