bei Google ScholarTitelangaben
Mayer, Ruben ; Graser, Leon ; Gupta, Harshit ; Saurez, Enrique ; Ramachandran, Umakishore:
EmuFog : Extensible and scalable emulation of large-scale fog computing infrastructures.
In:
2017 IEEE Fog World Congress (FWC). -
Piscataway, NJ
: IEEE
,
2017
ISBN 978-1-5386-3666-4
DOI: https://doi.org/10.1109/FWC.2017.8368525
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 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.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Data Systems > Lehrstuhl Data Systems - Univ.-Prof. Dr. Ruben Mayer Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
| Eingestellt am: | 25 Apr 2023 13:29 |
| Letzte Änderung: | 05 Feb 2024 07:40 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76025 |