Metadata-Version: 2.1
Name: leafsim
Version: 0.1.3
Summary: Simulator for modeling energy consumption in cloud, fog, and edge computing environments
Home-page: https://github.com/dos-group/leaf
Author: Philipp Wiesner
Author-email: wiesner@tu-berlin.de
License: MIT
Project-URL: Bug Tracker, https://github.com/dos-group/leaf/issues
Project-URL: Documentation, https://leaf.readthedocs.io/
Description: 
        # LEAF [![PyPI version](https://img.shields.io/pypi/v/leafsim.svg?color=52c72b)](https://pypi.org/project/leafsim/) [![Supported versions](https://img.shields.io/pypi/pyversions/leafsim.svg)](https://pypi.org/project/leafsim/) [![License](https://img.shields.io/pypi/l/leafsim.svg)](https://pypi.org/project/leafsim/)
        
        LEAF is a simulator for **L**arge **E**nergy-**A**ware **F**og computing environments.
        It enables then modeling of complex application graphs in distributed, heterogeneous, and resource-constrained infrastructures.
        A special emphasis was put on the modeling of energy consumption (and soon carbon emissions).
        
        Please visit the official [documentation](https://leaf.readthedocs.io) for more information and examples on this project.
        
        
        <p align="center">
          <img src="/docs/_static/infrastructure.png">
        </p>
        
        This Python implementation was ported from the [original Java protoype](https://www.github.com/birnbaum/leaf).
        All future development will take place in this repository.
        
        
        ## Installation
        
        You can use LEAF either by directly cloning this repository or installing the latest release via [pip](https://pip.pypa.io/en/stable/quickstart/):
        
        ```
        $ pip install leafsim
        ```
        
        ## What can I do with it?
        
        LEAF enables a high-level modeling of cloud, fog and edge computing environments.
        It builds on top of [networkx](https://networkx.org/), a library for creating and manipulating complex networks,
        and [SimPy](https://simpy.readthedocs.io/en/latest/), a process-based discrete-event simulation framework.
        
        Besides allowing research on scheduling and placement algorithms on resource-constrained environments,
        LEAF puts a special focus on:
        
        - **Dynamic networks**: Simulate mobile nodes which can join or leave the network during the simulation.
        - **Power consumption modeling**: Model the power usage of individual compute nodes, network traffic and applications.
        - **Energy-aware algorithms**: Implement dynamically adapting task placement strategies, routing policies, and other energy-saving mechanisms.
        - **Scalability**: Model the execution of thousands of compute nodes and applications in magnitudes faster than real time.
        
        Please visit the official [documentation](https://leaf.readthedocs.io) for more information and examples on this project.
        
        
        ## Publications
        
        The paper behind LEAF is accepted for publication:
        - Philipp Wiesner and Lauritz Thamsen. "[LEAF: Simulating Large Energy-Aware Fog Computing Environments](https://arxiv.org/abs/2103.01170)" To appear in the Proceedings of the *5th IEEE International Conference on Fog and Edge Computing (ICFEC)*. IEEE, 2021.
        
Keywords: simulation,modeling,fog computing,energy consumption,edge computing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Distributed Computing
Classifier: Typing :: Typed
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: docs
