@inproceedings{f56574654ca845328f98aaeeca4f03b8,
title = "Optimal Resource Allocation for Containerized Cloud Microservices",
abstract = "One significant advantage of microservice cloud architectures is the agility with which microservices may be duplicated to enhance overall service quality and satisfy service-level contracts. However, the complex interactions within microservice meshes introduce new challenges in managing shared hardware resources and in identifying critical resource bottlenecks. In this paper, we formulate the efficient resource management of cloud microservice resources as a constrained optimization problem that is amenable to a solution in real time. A novel optimization-based reactive resource manager is implemented on an open-source platform and compared with the academic state of the art and existing cloud-provider solutions. The proposed optimal solution has resulted in an 268% improvement of the overall microservice deployment cost.",
keywords = "Containers, Microservices, Optimization, Resource Allocation",
author = "Qassem, {Lamees M.Al} and Thanos Stouraitis and Ernesto Damiani and Elfadel, {Ibrahim Abe M.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 ; Conference date: 23-11-2022 Through 25-11-2022",
year = "2022",
doi = "10.1109/ICECTA57148.2022.9990377",
language = "British English",
series = "2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "271--274",
booktitle = "2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022",
address = "United States",
}