DeFog: Adaptive Microservice Scheduling on Kubernetes Clusters in Cloud-Edge-Fog Infrastructures
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57870-0_39
Reference13 articles.
1. Apat, H.K., Sahoo, B., Maiti, P.: Service placement in fog computing environment. In: International Conference on Information Technology (ICIT 2018), pp. 272–277. Bhubaneswar, India, December 2018. https://ieeexplore.ieee.org/document/8724192
2. Brogi, A., Forti, S., Guerrero, C., Lera, I.: Meet genetic algorithms in Monte Carlo: optimised placement of multi-service applications in the Fog. In: IEEE International Conference on Edge Computing (EDGE 2019), pp. 13–17. Milan, Italy, August 2019. https://ieeexplore.ieee.org/document/8812204
3. Cardellini, V., Presti, F.L., Nardelli, M., Rossi, F.: Self-adaptive container deployment in the Fog: a survey. In: International Symposium on Algorithmic Aspects of Cloud Computing (ALGOCLOUD 2019), pp. 77–102. Munich, Germany, September 2019. https://link.springer.com/chapter/10.1007/978-3-030-58628-7_6
4. Farhadi, V., et al.: Service placement and request scheduling for data-intensive applications in edge clouds. In: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, pp. 1279–1287. Paris, France, April 2019. https://ieeexplore.ieee.org/document/8737368
5. Google: e-Shop: Online Boutique (2022). https://github.com/GoogleCloudPlatform/microservices-demo
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