SmartSpread

Smart spread algorithm is a VM selection algorithm that is used to deploy new container in serverless computing platforms.

Folder content

• deploy
  • deploy.sh
  • worker.sh
• flask_api/flask -- A Flask-based REST API for collecting information about containers on nodes. (Documentation)
• manager
  • DataCollector.ipynb
  • DockerRemoteAPI.py
  • ELSbeat.py -- A Python class for fetching metrics from Elasticsearch and calculating statistics. (Documentation)
  • ExperimentProcessing.ipynb
  • Experimenter.ipynb
  • ExperimenterAll.ipynb
  • LoadTester.py
  • Manager.py
  • ProfileTable_Interactive.csv
  • Profiler.ipynb
  • RabbitServerInfo.py
  • log.sh
  • rofile.sh
• scripts
  • api.sh -- Script to deploy Flask-based REST API on each VM.
  • metricbeat.sh -- Script to deploy Metricbeat on each VM.
• workload_images
  • router
  • sysbench-cpu
  • sysbench-fileio
  • sysbench-oltp
• yml
  • docker.yml -- Docker module configuration file for Metricbeat
  • metricbeat.yml -- Metricbeat configuration file
  • system.yml -- System module configuration file for Metricbeat

Prerequesites

Usage

Configurations

• Operating system -- Ubuntu 18.04
• Python 3.7
• Metricbeat 6.4.1

Citation

You can find the paper with details of the simultor in PACS lab website. You can use the following bibtex entry for citing our work:

@inproceedings{mahmoudi2019smart,
  author = {Mahmoudi, Nima and Lin, Changyuan and Khazaei, Hamzeh and Litoiu, Marin},
  title = {Optimizing Serverless Computing: Introducing an Adaptive Function Placement Algorithm},
  year = {2019},
  publisher = {IBM Corp.},
  booktitle = {Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering},
  pages = {203–213},
  numpages = {11},
  keywords = {predictive performance modeling, container placement algorithms, optimization, machine learning, serverless computing},
  location = {Toronto, Ontario, Canada},
  series = {CASCON '19}
}