Bi-LSTM Traffic Prediction application, output prediction result as a Kubernetes CRD

for synthetic dataset (part of fifawc98 dataset with similar pattern) used in

• https://doi.org/10.1016/j.future.2023.11.010

Requirements for running

• Install TrafficStat CRD from https://github.com/mipearlska/knative_hybrid_scaling
• Install requirements (Python >= 3.6.9)

sudo apt install python3-dev python3-venv libffi-dev gcc libssl-dev git

python3 -m venv $HOME/Predictive_TrafficStatCRD

source $HOME/Predictive_TrafficStatCRD/bin/activate

pip install -U pip

pip install -r requirements.txt

• Locust Traffic Generator (https://locust.io/). Recommended install version 2.8.6.

pip3 install locust==2.8.6

• Locust exporter for Prometheus. Locust exporter cannot fetch 95%,50% latency for some recent versions of Locust (> 3).

sudo docker run -d --net=host containersol/locust_exporter

• When deploying Prometheus, add Locust config in values.yaml of Prometheus: job_name = Locust's job parameter in Prometheus query below target = "Host_URL_that_run_Locust:9646"

prometheus:
  prometheusSpec:
    additionalScrapeConfigs:
      - job_name: "generator1"
        scrape_interval: 2s
        static_configs:
        - targets: ["192.168.26.20:9646"]

• Modify a correct Prometheus URL,port in configs/configs.py

PROMETHEUS_URL = "http://192.168.26.42:32000"

• Modify a correct Prometheus Locust query link in get_metric() function of main.py file:

locust_users{instance="192.168.26.42:9646", job="generator1"}

• (Optional) Modify when (which second) to make a prediction in main function of main.py file:

schedule.every().minute.at(":55").do(lambda: predict(api))

Running

• Generate Traffic to service by running locust traffic profile (Given sample profile change traffic amount every 1 minute)

locust -f locustservicetraffic.py

• Run Traffic Prediction service

python main.py