Performance optimization across the edge-cloud continuum: A multi-agent rollout approach for cloud-native application workload placement
Published in Unknown Venue, 2024
Recommended citation: Polyzois Soumplis and Georgios Kontos and Panagiotis Kokkinos and Aristotelis Kretsis and Sergio Barrachina-Muñoz and Rasoul Nikbakht and Jorge Baranda and Miquel Payaró and Josep Mangues-Bafalluy and Emmanuel Varvarigos (2024). Performance optimization across the edge-cloud continuum: A multi-agent rollout approach for cloud-native application workload placement. Unknown Venue. https://link.springer.com/article/10.1007/s42979-024-02630-w
Abstract: The advancements in virtualization technologies and distributed computing infrastructures have sparked the development of cloud-native applications. This is grounded in the breakdown of a monolithic application into smaller, loosely connected components, often referred to as microservices, enabling enhancements in the application’s performance, flexibility, and resilience, along with better resource utilization. When optimizing the performance of cloud-native applications, specific demands arise in terms of application latency and communication delays between microservices that are not taken into consideration by generic orchestration algorithms. In this work, we propose mechanisms for automating the allocation of computing resources to optimize the service delivery of cloud-native applications over the edge-cloud continuum. We initially introduce the problem’s Mixed Integer Linear Programming (MILP …