This repo has the code for defiant user-space preemption, based on current application metrics. This was done as a part of CS/ECE5414 for Virginia Tech, for Fall 2022 semester. The project is titled "Specialized Process Schedulers using ghOSt"
ghOSt is a general-purpose delegation of scheduling policy implemented on top of the Linux kernel. The ghOSt framework provides a rich API that receives scheduling decisions for processes from userspace and actuates them as transactions. Programmers can use any language or tools to develop policies, which can be upgraded without a machine reboot. ghOSt supports policies for a range of scheduling objectives, from µs-scale latency, to throughput, to energy efficiency, and beyond, and incurs low overheads for scheduling actions. Many policies are just a few hundred lines of code. Overall, ghOSt provides a performant framework for delegation of thread scheduling policy to userspace processes that enables policy optimization, non-disruptive upgrades, and fault isolation.
The ghOSt kernel is here. You must compile and run the userspace component on the ghOSt kernel.
The ghOSt userspace component can be compiled on Ubuntu 20.04 or newer.
1. We use the Google Bazel build system to compile the userspace components of ghOSt. Go to the Bazel Installation Guide for instructions to install Bazel on your operating system.
2. Install ghOSt dependencies:
sudo apt update
sudo apt install libnuma-dev libcap-dev libelf-dev libbfd-dev gcc clang-12 llvm zlib1g-dev python-is-python3
Note that ghOSt requires GCC 9 or newer and Clang 12 or newer.
3. Compile the ghOSt userspace component. Run the following from the root of the repository:
bazel build -c opt ...
-c opt
tells Bazel to build the targets with optimizations turned on. ...
tells Bazel to build all targets in the BUILD
file and all BUILD
files in
subdirectories, including the core ghOSt library, the eBPF code, the schedulers,
the unit tests, the experiments, and the scripts to run the experiments, along
with all of the dependencies for those targets. If you prefer to build
individual targets rather than all of them to save compile time, replace ...
with an individual target name, such as agent_shinjuku
.
python/
- The collect_metrics.py program writes to schedulers/cfs/metrics.csv for all the mentioned system calls in schedulers/cfs/specFile.spec for the pids in pids.details
bpf/user/
- ghOSt contains a suite of BPF tools to assist with debugging and performance optimization. The userspace components of these tools are in this directory.
experiments/
- The RocksDB and antagonist Shinjuku experiments (from our SOSP paper) and
microbenchmarks. Use the Python scripts in
experiments/scripts/
to run the Shinjuku experiments.
- The RocksDB and antagonist Shinjuku experiments (from our SOSP paper) and
microbenchmarks. Use the Python scripts in
kernel/
- Headers that have shared data structures used by both the kernel and userspace.
lib/
- The core ghOSt userspace library.
schedulers/
- ghOSt schedulers. These schedulers include:
biff/
, Biff (bare-bones FIFO scheduler that schedules everything with BPF code)cfs/
CFS (ghOSt implementation of Linux Completely Fair Scheduler policy)edf/
, EDF (Earliest Deadline First)fifo/centralized/
, Centralized FIFOfifo/per_cpu/
, Per-CPU FIFOshinjuku/
, Shinjukusol/
, Speed-of-Light (bare-bones centralized FIFO scheduler that runs as fast as possible)
- ghOSt schedulers. These schedulers include:
shared/
- Classes to support shared-memory communication between a scheduler and another application(s). Generally, this communication is useful for the application to send scheduling hints to the scheduler.
tests/
- ghOSt unit tests.
third_party/
bpf/
- Contains the kernel BPF code for our suite of BPF tools (mentioned above).
This kernel BPF code is licensed under GPLv2, so we must keep it in
third_party/
.
- Contains the kernel BPF code for our suite of BPF tools (mentioned above).
This kernel BPF code is licensed under GPLv2, so we must keep it in
- The rest of
third_party/
contains code from third-party developers andBUILD
files to compile the code.
util/
- Helper utilities for ghOSt. For example,
pushtosched
can be used to move a batch of kernel threads to the ghOSt scheduling class.
- Helper utilities for ghOSt. For example,
We will run the per-CPU FIFO ghOSt scheduler and use it to schedule Linux pthreads.
- Build the per-CPU FIFO scheduler:
bazel build -c opt fifo_per_cpu_agent
- Build
simple_exp
, which launches a series of pthreads that run in ghOSt.simple_exp
is a collection of tests.
bazel build -c opt simple_exp
- Launch the per-CPU FIFO ghOSt scheduler:
bazel-bin/fifo_per_cpu_agent --ghost_cpus 0-1
The scheduler launches ghOSt agents on CPUs (i.e., logical cores) 0 and 1 and
will therefore schedule ghOSt tasks onto CPUs 0 and 1. Adjust the --ghost_cpus
command line argument value as necessary. For example, if you have an 8-core
machine and you wish to schedule ghOSt tasks on all cores, then pass 0-7
to
--ghost_cpus
.
To use the CFS scheduler with unfair preemption, first build the cfs_scheduler using
bazel build -c opt agent_cfs
To run the agent, use the following command, and specify the spec file if any
bazel-bin/agent_cfs --ghost_cpus 0-1 --spec_file specfile.spec
- Launch
simple_server
:
bazel-bin/simple_server
simple_server
will launch a http server using ghOSt. It can be stress tested by running the server_test.py script
python python/server_test.py
To compile the simple_server use the following bazel command
sudo bazel build -c opt simple_server
- Use
Ctrl-C
to send aSIGINT
signal toagent_cfs
to get it to stop.