Hewlett Packard Enterprise Development LP

Daniel William Dauwe

Ryan Dean Menhusen

Darel N Emmot

Harumi Kuno

Duncan Roweth

Alan Lynn Davis

Sai Rahul Chalamalasetti

Sergey Serebryakov

John L Byrne

Torsten Wilde

Vipin Kumar Kukkala

A system for facilitating sender-side congestion control is provided. During operation, the system, on a sender node, can determine the utilization of a buffer at a last-hop switch to a receiver node based on in-flight packets to the receiver node. The receiver node can be reachable from the sender node via the last-hop switch. The system can then determining a fraction of available space in the buffer for packets from the sender node based on the utilization of the buffer. Subsequently, the system can determine whether the fraction of the available space in the buffer can accommodate a next packet from the sender node while avoiding congestion at the buffer at the receiver node. If the fraction of the available space in the buffer can accommodate the next packet, the system can allow the sender node to send the next packet to the receiver node.

Method and system for dynamic quota-based congestion management

A system for facilitating sender-side granular congestion control is provided. During operation, the first and second processes of an application can run on sender and receiver nodes, respectively. A first buffer on the sender node can be allocated to the first process. For the first process, the system can then identify a second buffer at a last-hop switch of the receiver node. The system can determine, based on in-flight packets, the utilization of the second buffer. The system can also determine a fraction of available space in the second buffer for packets from the first buffer based on the utilization. Subsequently, the system can determine whether the fraction of the available space can accommodate the next packet from the first buffer. If the fraction of the available space can accommodate the next packet, the system can allow the first process to send the next packet to the second process.

Method and system for granular dynamic quota-based congestion management

One embodiment provides a system and method for predicting network power usage associated with workloads. During operation, the system configures a simulator to simulate operations of a plurality of network components, which comprises embedding one or more event counters in each simulated network component. A respective event counter is configured to count a number of network-power-related events. The system collects, based on values of the event counters, network-power-related performance data associated with one or more sample workloads applied to the simulator; and trains a machine-learning model with the collected network-power-related performance data and characteristics of the sample workloads as training data 1, thereby facilitating prediction of network-power-related performance associated with a to-be-evaluated workload.

System and method for predicting power usage of network components

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Ft. Collins, CO, United States of America

Daniel William Dauwe