EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures
- Resource Type
- Conference
- Authors
- Mayer, Ruben; Graser, Leon; Gupta, Harshit; Saurez, Enrique; Ramachandran, Umakishore
- Source
- 2017 IEEE Fog World Congress (FWC) Fog World Congress (FWC), 2017 IEEE. :1-6 Oct, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Edge computing
Network topology
Emulation
Topology
Partitioning algorithms
Computational modeling
Resource management
Fog Computing
Emulation Framework
- Language
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 Emu Fog 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.