Towards a Framework for Optimized Microservices Placement in Cloud Native Environments

Abstract

In recent times, cloud-native technologies have increasingly enabled the design and deployment of applications using a microservice architecture, enhancing modularity, scalability, and management efficiency. These advancements are specifically tailored for the creation and orchestration of containerized applications, marking a significant leap forward in the industry. Emerging cloud-native applications employ container-based virtualization instead of the traditional virtual machine approach. However, adopting this new cloud-native approach requires a shift in vision, particularly in addressing the challenges of microservices placement. Ensuring optimal resource utilization, maintaining service availability, and managing the complexity of distributed deployments are critical considerations that necessitate advanced orchestration and automation strategies. We introduce a new framework for optimized microservices placement that optimizes application performance based on resource requirements. This approach aims to efficiently allocate infrastructural resources while ensuring high service availability and adherence to service level agreements. The implementation and experimental results of our method validate the feasibility of the proposed approach.