Abstract: A method for control of congestion of traffic, being categorized according to a number of layers (L), in a network node, comprises a step of monitoring the amount (n(t)) of incoming flows to this node such that, based upon this amount (n(t)) of incoming flows and on a current number of accepted layers (l(t)), a next number of accepted layers (l(t+1)) for entry into said node is determined by consultation of an action table (T). In an enhanced embodiment the action table is adjusted based on the observed traffic during an observation period.

Abstract: The present invention relates to a new error control paradigm in a packet switched network that is particularly advantageous for multicast transmission. A transmission Status Vector TSV (T) is updated at the sender side whenever a new outgoing data packet (Dj?1) is scheduled for transmission. A corresponding Reception status Vector RSV (R) is similarly updated at the receive side whenever a new incoming and correctly indexed data packet (Dj?1) is validly received. As soon as a missing or corrupted data packet (Dj) is detected, the update of the RSV is suspended. A request is then sent to the sender to get the current Tsv's value, or a part thereof. The erroneous data packet is then recovered from the current TSV's value (Sk,m), from the lastly updated RSV's value (Sj?1), and from otherwise validly received data packets (Dj+1, . . . , Dk).

Abstract: A method for control of congestion of traffic, being categorized according to a number of layers (L), in a network node, comprises a step of monitoring the amount (n(t)) of incoming flows to this node such that, based upon this amount (n(t)) of incoming flows and on a current number of accepted layers (l(t)), a next number of accepted layers (l(t+1)) for entry into said node is determined by consultation of an action table (T). In an enhanced embodiment the action table is adjusted based on the observed traffic during an observation period.

Abstract: The present invention relates to a new error control paradigm in a packet switched network that is particularly advantageous for multicast transmission. A transmission Status Vector TSV (T) is updated at the sender side whenever a new outgoing data packet (Dj?1) is scheduled for transmission. A corresponding Reception status Vector RSV (R) is similarly updated at the receive side whenever a new incoming and correctly indexed data packet (Dj?1) is validly received. As soon as a missing or corrupted data packet (Dj) is detected, the update of the RSV is suspended. A request is then sent to the sender to get the current Tsv's value, or a part thereof. The erroneous data packet is then recovered from the current TSV's value (Sk,m), from the lastly updated RSV's value (Sj-1), and from otherwise validly received data packets (Dj+1, . . . , Dk).

Abstract: Methods and systems for detecting and predicting congestion patterns from network feedback are described. In the inventive embodiments, network feedback in the form of binary feedback messages is received. The network feedback can comprise any suitable feedback messages and, in the illustrated and described embodiments comprise packet loss events or ECN marks, to name just a few. The inventive embodiment uses the network feedback to predict when congestion is likely to occur in the future. Based on these predictions, the behavior of end users within the system can be modified so that congestion is reduced. Specifically, the data packets that are typically transmitted by the end users can be delayed until such a time when the predicted congestion is mitigated. Thus, the inventive systems and methods take a predictive, proactive approach to addressing network congestion issues, rather than a reactive approach.

Abstract: Network congestion avoidance within aggregated channels is disclosed. In one embodiment, a method first transmits a packet associated with a first channel of a plurality of related channels from a source protocol layer (e.g., a source IP layer) of a source through a network (e.g., the Internet). Next, the method triggers an ECN event by the packet at the network. Finally, at least one channel is determined to have decreased packets transmitted therethrough, in response to the triggering of the ECN event (e.g., based on a congestion pricing criteria).

Abstract: Methods and systems for detecting and predicting congestion patterns from network feedback are described. In the inventive embodiments, network feedback in the form of binary feedback messages is received. The network feedback can comprise any suitable feedback messages and, in the illustrated and described embodiments comprise packet loss events or ECN marks, to name just a few. The inventive embodiment uses the network feedback to predict when congestion is likely to occur in the future. Based on these predictions, the behavior of end users within the system can be modified so that congestion is reduced. Specifically, the data packets that are typically transmitted by the end users can be delayed until such a time when the predicted congestion is mitigated. Thus, the inventive systems and methods take a predictive, proactive approach to addressing network congestion issues, rather than a reactive approach.

Abstract: Network congestion avoidance within aggregated channels is disclosed. In one embodiment, a method first transmits a packet associated with a first channel of a plurality of related channels from a source protocol layer (e.g., a source IP layer) of a source through a network (e.g., the Internet). Next, the method triggers an ECN event by the packet at the network. Finally, at least one channel is determined to have decreased packets transmitted therethrough, in response to the triggering of the ECN event (e.g., based on a congestion pricing criteria).

Abstract: Network congestion avoidance within aggregated channels is disclosed. In one embodiment, a method first transmits a packet associated with a first channel of a plurality of related channels from a source protocol layer (e.g., a source IP layer) of a source through a network (e.g., the Internet). Next, the method triggers an ECN event by the packet at the network. Finally, at least one channel is determined to have decreased packets transmitted therethrough, in response to the triggering of the ECN event (e.g., based on a congestion pricing criteria).

Abstract: Methods and systems for detecting and predicting congestion patterns from network feedback are described. In the inventive embodiments, network feedback in the form of binary feedback messages is received. The network feedback can comprise any suitable feedback messages and, in the illustrated and described embodiments comprise packet loss events or ECN marks, to name just a few. The inventive embodiment uses the network feedback to predict when congestion is likely to occur in the future. Based on these predictions, the behavior of end users within the system can be modified so that congestion is reduced. Specifically, the data packets that are typically transmitted by the end users can be delayed until such a time when the predicted congestion is mitigated. Thus, the inventive systems and methods take a predictive, proactive approach to addressing network congestion issues, rather than a reactive approach.