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ECLYPSE: A Python Framework for Simulation and Emulation of the Cloud-Edge Continuum

delete2026-01-01
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PRE
AI
J
Jacopo Massa *
V
Valerio De
S
Stefano Forti
P
Patrizio Dazzi
D
Davide Bacciu
A
Antonio Brogi
DOI：10.1002/smr.70081delete
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摘要

摘要

En 中文
云边连续体通过将计算靠近数据源来提升应用性能。然而，它在资源管理和应用服务部署方面带来了显著挑战，因为这些任务需要分析由波动网络条件特征定义的多样化动态环境。应对这些挑战需要结合云边系统模拟与仿真的工具，以严格评估新的应用和资源管理策略。本文介绍ECLYPSE，一个基于Python的框架，可通过可调节的资源分配和服务部署模型实现云边连续体的模拟与仿真。ECLYPSE采用事件驱动架构动态调整网络配置和资源，并支持模拟与仿真设置间的无缝切换，从而支持在模拟、仿真及混合环境中执行实验。本研究通过三个用例展示并评估了ECLYPSE的功能，证明了该框架在多样化场景下快速原型开发的有效性。
Keyword:
cloud-edge computing
emulation
resource management
simulation

期刊

J
Journal of Software-Evolution and Process
IF:
1.8
论文数:
69
被引数:
1.5K

机构

U
university of pisa
学者数:
4.4K
论文数: 1.7K
被引数: 0
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