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https://github.com/samyak2/yacs

YAAAAAAAAAAAAAAAAAAAAAAAAAAAAACS
https://github.com/samyak2/yacs

distributed-systems mapreduce scheduler yarn yet-another

Last synced: 23 days ago
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YAAAAAAAAAAAAAAAAAAAAAAAAAAAAACS

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README

        

# Yet Another Centralized Scheduler

```

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```

# Layout

## Code

- [`master.py`](./master.py) and [`master_utils`](./master_utils)
- [`worker.py`](./worker.py)
- [`config_utils/`](./config_utils): utilities related to reading the `config.json` file
which defines workers.
- [`job_utils/`](./job_utils): definitions of tasks, jobs and messages shared by master and workers.
- [`extras/`](./extras): extra scripts such as config generator, sending requests to master, etc.
- [`start_workers.py`](./start_workers.py): starts all workers defined in `config.json` locally with the
correct ports. Workers are stopped once the script exits.

## Documentation

[Documentation - report and architecture](./docs)

## Analysis

[Analysis](./analysis)

# Usage

- Edit the `config.json` file with correct worker details. Or [generate one](./extras/config_gen.py).

- First the master
```
python3 master.py # uses the random scheduler
```
OR
```
python3 master.py rr # uses the round robin scheduker
```
OR
```
python3 master.py ll # uses the least loaded scheduler
```

- Now the worker
```
python3 start_workers.py # uses the config.json
```

- Now run `extras/requests.py` with the number of requests you want to send to master node. It should send and finish. Let it run in the background. Example:
```
python3 extras/requests.py 100
```

For more customized testing, `requests_eval.py`
```
python3 extras/requests_eval.py # custom task generated
```

# Analysis

Copy over the required logs to `analysis/`.

```
cd analysis
python3 yacs_logs_analysis.py # task 1
python3 graph_task2.py # task 2
```

# Non-local workers

The `external-workers` branch has experimental support for non-local workers. Tested on a Raspberry Pi node.