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Jun 19, 2020 - Go
#
traffic-control
Here are 55 public repositories matching this topic...
An HTTP API Gateway
go
api
golang
microservice
api-gateway
proxy
gateway
etcd
circuit-breaker
traffic-control
backend-apis
xoancosmed
commented
Mar 31, 2020
Bandwitch limit is not working as expected, the expirimented limit is much higher than the value I setted via the label. Here some examples:
- Without limitation, as you can see, we get 10Gbps.
$ docker run -it mlabbe/iperf3 iperf3 -c 172.20.35.249
Connecting to host 172.20.35.249, port 5201
[ 5] local 172.17.0.2 port 49944 connected to 172.20.35.249 port 5201
[ ID] Interval
NetLimiter-like bandwidth limiting and QoS for Linux
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Feb 21, 2020 - Python
Pseudo-driver for the intermediate queue device.
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Updated
Jan 15, 2020 - Shell
A lightweight Python-based Web-GUI for Linux traffic control (tc) to set, view and delete traffic shaping rules.
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Feb 18, 2020 - Python
Convert network filtering rules from various formats into BPF programs
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Apr 14, 2020 - C
Fork MQTT traffic from broker A to B like it's potatoes 🥔 .
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May 8, 2020 - Go
Linux Software Defined Network
linux
cloud
kernel
stress
network
virtual-machine
netlink
tc
network-programming
traffic-control
virtual-network
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Updated
Jul 7, 2018 - C
Another AI toy project, of a traffic intersection controlled by a Reinforcement Learning AI agent to optimize traffic flow in an intersection of vehicles or pedestrians
c-sharp
agent
reinforcement-learning
ai
simulation
vector
traffic
collision
collision-detection
sign
intersection
pet-project
pedestrian
traffic-control
traffic-light
traffic-simulation
lanes
agent-based-simulation
traffic-flow
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Apr 24, 2020 - Dockerfile
dastergon
commented
Oct 15, 2017
Show in the main panel whether there are available rules or not in a deployment group. There is a case where the users may delete the rules of the group.
The Distributed Traffic Control System
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Feb 11, 2019 - Java
Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning
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Aug 18, 2019 - Python
Apache Traffic Server exporter for Prometheus TSDB
docker
spring-boot
docker-compose
grafana
prometheus
prometheus-exporter
traffic-control
apache-trafficserver
prometheus-tsdb
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Updated
Aug 15, 2018 - Java
A dynamic traffic control system using image processing
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Jan 14, 2018 - Python
Some cars may crash, but never shall our project.
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Feb 25, 2019 - Java
Implementation of the FQ-PIE algorithm in ns-3
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Apr 26, 2019 - Python
Proyecto de control de trafico e intercepción de semáforos inteligentes.
transit
python
c
time
interface
interactive
numpy
pyserial
matplotlib
control-systems
pygame-library
traffic-monitoring
vehicle-detection
vehicle-counting
traffic-control
object-oriented-programming
traffic-light
traffic-sign-recognition
vehicle-detection-and-tracking
time-real
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Apr 17, 2018 - C
Real Time Adaptive Traffic Filtering with Number Plate Detection and Character recognition using Image Processing
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Dec 3, 2018 - MATLAB
Dynamic Real-time Traffic Control System
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Oct 21, 2019 - Python
The PiWall project is a Raspberry Pi based, secure and standalone low-level (Layer 2 OSI) network firewall with enchanced flexibility as its rules and policies may directly be defined in Python (3.4).
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Mar 27, 2017 - Python
An invention that can minimize traffic jams by taking down traffic waves
open-source
opensource
open-source-hardware
traffic-control
invention
traffic-jam
traffic-congestion
traffic-waves
stop-waves
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Apr 16, 2019 - C++
An environment for core simulation based on Docker Swarm.
mongodb
zeromq
restful
docker-swarm
swagger
nfs
criu
traffic-control
scheduling-algorithms
weaveworks
container-migration
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Nov 24, 2019 - Python
Traffic Monitoring and Management system built using Arduino, IR sensors and RFID tags and reader
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Sep 30, 2018 - C
Web scrapping and Image processing modules for traffic light control assistance for an Isolated Intersection in Dhaka City
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Jan 12, 2020 - Python
simulation for two 4-arm intersections
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Oct 14, 2019
Network emulation for MPI programs using Linux traffic control module
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Feb 24, 2018 - Python
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Feature Description
It would be great to systematically produce performance upper bounds for new environments (a sense of the best we can hope to achieve),