A computer-implemented method for automatic configuring of a network of interconnected nodes to handle electronic data traffic comprises the steps of receiving a request to transfer a block of data from a source data storage device of the network to a destination data storage device, determining a status for each data storage device and a plurality of data transmission devices, determining paths through the network from the source data storage device to the destination data storage device based upon the status of the devices, sending a prioritized configuration to each subset of data transmission devices to establish the paths from the source data storage device to the destination data storage device, sending a signal to the source data storage device to transfer the block of data to the destination data storage device, and returning the data transmission devices to a default configuration after the block of data has been transferred.

Systems and methods provide for Selective Tracking of Acknowledgments (STACKing) to improve buffer utilization and traffic shaping for one or more network devices. A network device can identify a first flow that corresponds to a predetermined traffic class and a predetermined congestion state. The device can determine a current window size and congestion threshold of the first flow. In response to a determination to selectively track a portion of acknowledgments of the first flow, the device can track, in main memory, information of a first portion of acknowledgments of the first flow. The device can exclude, from one or more buffers, a second portion of acknowledgments of the first flow. The device can re-generate and transmit segments corresponding to the second portion of acknowledgments at a target transmission rate based on traffic shaping policies for the predetermined traffic class and congestion state.

Systems and methods for controlling congestion of a data network are provided. An engine round-trip time (RTT) and a fabric RTT for a network flow are determined. An engine-based congestion window size for the flow is determined based on the engine RTT and a target engine RTT. A fabric-based congestion window size for the flow is determined based on the fabric RTT and a target fabric RTT. The smaller of the engine-based congestion window size and the fabric-based window size is selected for use in transmitting a future packet associated with the flow. The target engine RTT is determined based in part on the current congestion window used to transmit packets for the flow and/or the target fabric RTT is determined based on a number of hops packets associated with the flow traverse from a source to a destination associated with the flow.

In an embodiment, header information of messages is altered to specify a window within which to receive information, so that the messages sent by a remote device will be sent at a rate that a network can receive messages. The sending of acknowledgements of messages are paced to control window growth. Bandwidth is allocated to a plurality of flows such that the satisfied flows require less bandwidth than an amount of bandwidth allocated to each unsatisfied flow.

A network device includes network ports to communicate with source devices and destination devices. The network device receives respective packets from each source device and, for each source device, respectively performs the following operations. The network device stores the respective packets in a shared memory that stores all packets from all of the source devices, and dequeues the respective packets from the shared memory to send the packets to destination devices. Responsive to the storing and the dequeuing, the network device respectively increases and decreases an input packet count for the source device. The network device determines for the source device a packet sending rate based on the input packet count and a flow control threshold common across all of the source devices in accordance with a proportional integral (PI) control equation. The network device transmits to the source device a control message including the packet sending rate.

Methods and systems for dynamic congestion management in communications networks that advantageously provides a satisfactory Quality of Experience (QoE) of real time communication for network users. Congestion management is achieved wherein an ingress interface is monitored by a data processing system and when utilization of that interface exceeds a first activation level a message is sent to a second data processing system wherein that second data processing system is a source for at least some of data packets traversing the ingress interface, wherein the first message indicates that traffic shaping is to occur in accordance with the first activation level and only if the utilization falls below a deactivation level, transmitting a second message to the second data processing system wherein the second message indicates that traffic shaping is to stop.

Aspects of the present disclosure involve systems, methods, computer program products, and the like, for controlling a congestion window (CWND) value of a communication session of a CDN. In particular, a content server may analyze a request to determine or receive an indication of the type of content being requested. The content server may then set the initial CWND based on the type of content being requested. For example, the content server may set a relatively high CWND value for requested content that is not particularly large, such as image files or text, so that the data of the content is received at the client device quickly. For larger files or files that a have a determined smaller urgency, the initial CWND may be set at a lower value to ensure that providing the data of the content does not congest the link between the devices.

Systems and methods provide for Selective Tracking of Acknowledgments (STACKing) to improve buffer utilization and traffic shaping for one or more network devices. A network device can identify a first flow that corresponds to a predetermined traffic class and a predetermined congestion state. The device can determine a current window size and congestion threshold of the first flow. In response to a determination to selectively track a portion of acknowledgments of the first flow, the device can track, in main memory, information of a first portion of acknowledgments of the first flow. The device can exclude, from one or more buffers, a second portion of acknowledgments of the first flow. The device can re-generate and transmit segments corresponding to the second portion of acknowledgments at a target transmission rate based on traffic shaping policies for the predetermined traffic class and congestion state.

Systems and methods for rate limiting one or more clusters of service instances using at least one rate limit controller are described herein. A token distribution is determined for each one of a plurality of rate limiters. The token distribution comprising a maximum number of tokens and a token generating rate. The maximum number of tokens and the token generating rate are assigned to each one of the plurality of rate limiters. At least one request for additional tokens is received from at least a given one of the plurality of rate limiters. The token distribution of at least the given one of the plurality of rate limiters is adjusted based on the request and on token consumption information of at least the given one of the plurality of rate limiters. An adjusted token distribution is assigned to the given one of the plurality of rate limiters.

Systems and methods provide for Selective Tracking of Acknowledgments (STACKing) to improve buffer utilization and traffic shaping for one or more network devices. A network device can identify a first flow that corresponds to a predetermined traffic class and a predetermined congestion state. The device can determine a current window size and congestion threshold of the first flow. In response to a determination to selectively track a portion of acknowledgments of the first flow, the device can track, in main memory, information of a first portion of acknowledgments of the first flow. The device can exclude, from one or more buffers, a second portion of acknowledgments of the first flow. The device can re-generate and transmit segments corresponding to the second portion of acknowledgments at a target transmission rate based on traffic shaping policies for the predetermined traffic class and congestion state.