Dynamic and Energy Efficient Power monitor (DEEP-mon) is an eBPF based monitoring tool to measure power consumption and performance of Docker containers. DEEP-mon started in 2017 as a research project of NECSTLab at Politecnico di Milano with the goal of being able to measure the power consumption of each container running in a given host. The project then expanded and now DEEP-mon is able to measure power consumption, performance counters, CPU usage, Memory usage, Network I/O, and File I/O, all displayed in a curses UI terminal window.

DEEP-mon currently runs on Docker and it is almost self contained. Requirements are:

• Linux kernel >= 4.13
• kernel headers
• make
• docker
• intel_rapl module (for power consumption on Intel® processors)

We tested DEEP-mon on Ubuntu 16.04 and 18.04. The power attribution feature of DEEP-mon targets the SMT capability of Intel® Sandy bridge and Ivy bridge server class processors. For other architectures a new attribution factor should be tested and used (more details here and here).

To build the container, within the root folder of the project type:

make build

To run the container, within the root folder of the project type:

make run

For bug reports or feature requests feel free to create an issue.
Please make sure that the same problem wasn't reported already.

Contribution is welcome!

• Create a pull request containing bug fixes or new features.
• Propose new functions and improvements

• fix performance issue with memory metrics
• experimental measurement tool -> record stuff, single machine + distributed
• frequency sampling
• improve parameter injection
• set attribution ratio in config
• improve curse UI
• documentation (code + md files)
• tests
• add k8s pod name, deployments, services (e.g. readable k8s data)
• one UI per cluster (daemonset), server w/data, cli
• web UI

As we said at the beginning, this work comes form the research conducted at NECSTLab. If you use this tool for your research, please cite the following papers:

• Brondolin, Rolando, Tommaso Sardelli, and Marco D. Santambrogio. "Deep-mon: Dynamic and energy efficient power monitoring for container-based infrastructures." 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2018. (download here)

• Rolando Brondolin and Marco D Santambrogio. "A black-box monitoring approach to measure microservices runtime performance." ACM Transactions on Architecture and Code Optimization (TACO), 17(4):1-26, 2020. (download here)