A method and system for distributive flow control and bandwidth management in networks is disclosed. The method includes: providing multiple Internet Protocol (IP) Gateways (IPGWs) that each have a maximum send rate and one or more sessions with associated throughput criteria, wherein each IPGW performs flow control by limiting information flows by the respective maximum send rate and throughput criteria; providing multiple Code Rate Organizers (CROs) that each have a bandwidth capacity, wherein each CRO performs bandwidth allocation of its respective bandwidth capacity to one or more IPGWs of the multiple IPGWs; interconnecting the multiple IPGWs with the multiple CROs; and performing bandwidth management across the multiple CROs and IPGWs. In the method, an IPGW of the multiple IPGWs provides flow control across a plurality of the CROs of the multiple CROs, and a CRO of the multiple CROs allocates bandwidth to a plurality of the IPGWs of the multiple IPGWs.

Embodiments provide a traffic control system for WLAN access points. The traffic control system works in dependence on a first input-user priority (supplied by an authentication server). This allows different service levels to be provided to different classes of customer. In addition, the traffic control system polices and/or shapes traffic based on a second input—a modulation rate detector, which measures the modulation rate at which each connected client is sending its traffic, and uses it to indirectly cause fairer use of the available air interface capacity (e.g. by causing TCP streams to back off when they detect packet loss). Finally, for some embodiments where public Wi-Fi is being delivered through private Wi-Fi access points, the traffic control system is to manage the air interface utilization split between public and private WiFi users, to ensure that private users do not have their Wi-Fi air interface network capacity unduly impaired by public users.

A method for regulating output from stream operators performing a windowing operation may include receiving stream of tuples to be processed by a plurality of processing elements, each processing element having one or more stream operators. The method may also include receiving a first stream of tuples at a first stream operator, the first stream operator being configured to generate a stream of accumulated tuples according to a set of windowing conditions. The method may then include processing the stream of accumulated tuples in response to a window trigger, where the processing generates a quantity of output. At least one processor may then monitor the quantity of output to determine whether the quantity of output exceeds a data output threshold. The processing may then be adjusted, in response to determining that the quantity of output exceeds the data output threshold, to reduce the output to approach the data output threshold.

Various embodiments are directed to techniques for dynamically adjusting a maximum rate of throughput for accessing data stored within a volume of storage space of a storage cluster system based on the amount of that data that is stored within that volume. An apparatus includes an access component to monitor an amount of client device data stored within a volume defined within a storage device coupled to a first node, and to perform a data access command received from a client device via a network to alter the client device data stored within the volume; and a policy component to limit a rate of throughput at which at least the client device data within the volume is exchanged as part of performance of the data access command to a maximum rate of throughput, and to calculate the maximum rate of throughput based on the stored amount.

Disclosed are a throughput test method and apparatus. The method includes: a first network device generating a periodic detection message through a data processor; the first network device sending the detection message to a second network device to be tested, wherein a first throughput value of the first network device is greater than or equal to a second throughput value of the second network device; the first network device receiving a loopback detection message looped back by the second network device; the first network device obtaining a first quantity value of the detection messages as well as a second quantity value of the loopback detection messages; and the first network device obtaining the second throughput value characterizing the throughput of the second network device through the data processor based on the first quantity value and the second quantity value.

One embodiment includes a firewall, intrusion prevention, or other device that automatically and dynamically adjusts packets subjected to certain rate limiting based on the reputation level associated with these packets (e.g., based on the reputation score of the source of a packet). In response to measured traffic, one embodiment automatically adjusts the range of reputation scores determining which packets are subjected to this rate limiting (e.g., which packets are possibly dropped), such as, but not limited to increase or decrease the measured traffic. For example, packet traffic with a worse reputation can be singled out for this rate limiting during a period of increased traffic, and then when the measured traffic subsides, the range of reputation scores can be correspondingly changed to allow more measured traffic.

An apparatus is configured to receive at a time a datum associated with use of a network by a set of compute devices using the network. The apparatus is also configured to calculate at least one threshold value based, at least in part, on the datum and a bandwidth capacity of the network at the time. The apparatus is also configured to receive a usage value associated with bandwidth use of a compute device from the set of compute devices and associated with a time period immediately preceding the time. The apparatus is further configured to compare the usage value with the at least one threshold value to determine a usage category associated with the compute device. The apparatus is configured to limit bandwidth use of the network for the compute device based on the usage category.

Telecommunication networks are under stress due to rapid traffic increase cause mostly by large file transfers. Disclosed herein is a cross-layer transport protocol specifically designed to efficiently handle large transactions. Traffic generated from large transactions is shaped into a periodic succession of fixed-size data frames. Each transaction can then be scheduled for transmission using a two-way reservation protocol. Exemplary results show that the proposed approach is capable of significantly improving goodput and end-to-end delay relative to TCP, improving efficiency of bandwidth utilization by over 40%.

A system and method includes a network device comprising a control unit, a first port coupled to the control unit and configured to couple the network device to a first device using a first network link. The control unit is configured to receive a data packet from the first device on the first port, inspect the data packet for an indicator of an incast communication pattern, and implement a data flow shaper on a network when the indicator is present in the data packet.

Embodiments of the present invention provide a system, method, and computer program product that enables applications transferring data packets over a network to a multi-processing system to choose how the data packets are going to be processed by, e.g., allowing the applications to pre-assign connections to a particular network thread and migrate a connection from one network thread to another network thread without putting the connection into an inconsistent state.