EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures
| Autor: | Mayer, Ruben, Graser, Leon, Gupta, Harshit, Saurez, Enrique, Ramachandran, Umakishore |
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| Rok vydání: | 2017 |
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| Druh dokumentu: | Working Paper |
| Popis: | 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. Comment: To appear in Proceedings of 2017 IEEE Fog World Congress (FWC '17) |
| Databáze: | arXiv |
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