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

TL;DR

ECLYPSE is a Python framework that facilitates the simulation and emulation of the Cloud-Edge continuum, aiding in resource management and service placement research through adaptable, dynamic models.

Contribution

The paper introduces ECLYPSE, a novel Python-based tool that combines simulation and emulation for Cloud-Edge systems with dynamic resource and network management.

Findings

Supports rapid prototyping for diverse experimental setups

Enables dynamic adaptation of network configurations

Facilitates seamless transition between simulation and emulation

Abstract

The Cloud-Edge continuum enhances application performance by bringing computation closer to data sources. However, it presents considerable challenges in managing resources and determining service placement, as these tasks require navigating diverse, dynamic environments characterised by fluctuating network conditions. Addressing these challenges calls for tools combining simulation and emulation of Cloud-Edge systems to rigorously assess novel application and resource management strategies. In this paper, we introduce ECLYPSE, a Python-based framework that enables the simulation and emulation of the Cloud-Edge continuum via adaptable resource allocation and service placement models. ECLYPSE features an event-driven architecture for dynamically adapting network configurations and resources. It also supports seamless transitions between simulated and emulated setups. In this work, ECLYPSE capabilities are illustrated over three use cases, showing how the framework supports rapid prototyping across diverse experimental settings.