Constarium
← Search

Data · dataset · 2025

The fast loss recovery mechanism of the AIDC

Listed in ScienceDB

Simulation data of packet loss fast recovery mechanism in intelligent computing center: This dataset is based on the ns3 simulation tool to simulate three common data center RDMA congestion control algorithms, dcqcn, hpcc, and timely.

Description

In the simulation environment, packet loss scenarios are constructed and flow completion times are measured for each congestion algorithm to analyze their ability to handle packet loss events. dcqcn_gbn_output_m21.txt: Based on the dcqcn algorithm and gobackN algorithm, test adding one more flow.

The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% fct represents the flow completion time at the 99% percentile. dcqcn_sr_output_m21.txt: Based on the DCQCN algorithm and SR algorithm, test adding one more flow. The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% FCT represents the flow completion time at the 99% percentile. hpcc_gbn_output_m21.txt: Based on the hpcc algorithm and gobackN algorithm, test adding one more flow.

Read the rest (2 more)

The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% fct represents the flow completion time at the 99% percentile. hpcc_sr_output_m21.txt: Based on the HPCC algorithm and SR algorithm, test adding one more flow. The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% fct represents the flow completion time at the 99% percentile. timely_gbn_output_m21.txt: Based on the Timely algorithm and GobackN algorithm, test adding one more flow.

The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% fct represents the flow completion time at the 99% percentile. timely_sr_output_m21.txt: Based on the Timely algorithm and SR algorithm, test adding one more flow. The first line after the diagonal line in the dataset is msg size, where min represents the minimum flow completion time, avg represents the average flow completion time, max represents the maximum flow completion time, and 99% fct represents the flow completion time at the 99% percentile. 

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2169810 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[method].local:method:simulationenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title