Genetic Algorithm for mulit-Objective Optimization of containers allocation in cloud architecture

The use of containers in cloud architectures has become widespread, owing to advantages such as limited overheads, easier and faster deployment, and higher portability. Moreover, they present a suitable architectural solution for the deployment of applications created using a microservice development pattern. But the remain open issue is that ----- container resource allocation influences system performance and resource consumption, and so it is a key factor for cloud providers. In this paper, they propose a genetic algorithm approach, using the Non-dominated Sorting Genetic Algorithm 2

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