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arXiv · 1709.07563

EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures

Ruben Mayer·Leon Graser·Harshit Gupta·Enrique Saurez·Umakishore Ramachandran
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Abstract

The diversity of Fog Computing deployment models and the lack of publicly available Fog infrastructure makes the design of an efficient application or resource management policy a challenging task. Such research often requires a test framework that facilitates the experimental evaluation of an application or protocol design in a repeatable and controllable manner. In this paper, we present EmuFog---an extensible emulation framework tailored for Fog Computing scenarios---that enables the from-scratch design of Fog Computing infrastructures and the emulation of real applications and workloads. EmuFog enables researchers to design the network topology according to the use-case, embed Fog Computing nodes in the topology and run Docker-based applications on those nodes connected by an emulated network. Each of the sub-modules of EmuFog are easily extensible, although EmuFog provides a default implementation for each of them. The scalability and efficacy of EmuFog are evaluated both on synthetic and real-world network topologies.

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Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran. 2017-09-22. EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures. https://arxiv.org/abs/1709.07563

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