Cloudy
A research framework for simulating and benchmarking cloud computing scheduling algorithms.
Install (local development mode)
pip install -e .
Usage
from cloudy.algorithms import RoundRobin
from cloudy.core import Task
tasks = [Task("T1", 5), Task("T2", 3), Task("T3", 8)]
algo = RoundRobin(quantum=2)
result = algo.schedule(tasks)
for t in result:
print(t.name, "waiting_time =", t.waiting_time, "completion_time =", t.completion_time)
1 maintainer
Release files for cloudy-research 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cloudy_research-0.0.1.tar.gz | 3.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cloudy_research-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / cloudy_research-0.0.1.tar.gz
| Download URL | cloudy_research-0.0.1.tar.gz |
|---|---|
| Size | 3.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.13.14
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Release files / cloudy_research-0.0.1-py3-none-any.whl
| Download URL | cloudy_research-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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