Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum

TL;DR

Tetris is a heuristic-based application placement strategy in the edge-cloud continuum that significantly reduces SLA violations and improves QoS for latency-sensitive applications.

Contribution

It introduces a novel SLA-aware placement algorithm that efficiently distributes services across edge and cloud resources, prioritizing SLA urgencies and resource efficiency.

Findings

Reduces SLA violations by approximately 76%.

Improves resource utilization and system stability.

Enhances QoS for latency-sensitive applications.

Abstract

An Edge-Cloud Continuum integrates edge and cloud resources to provide a flexible and scalable infrastructure. This paradigm can minimize latency by processing data closer to the source at the edge while leveraging the vast computational power of the cloud for more intensive tasks. In this context, module application placement requires strategic allocation plans that align user demands with infrastructure constraints, aiming for efficient resource use. Therefore, we propose Tetris, an application placement strategy that utilizes a heuristic algorithm to distribute computational services across edge and cloud resources efficiently. Tetris prioritizes services based on SLA urgencies and resource efficiency to avoid system overloading. Our results demonstrate that Tetris reduces SLA violations by approximately 76% compared to the baseline method, which serves as a reference point for benchmarking performance in this scenario. Therefore, Tetris offers an effective placement approach for managing latency-sensitive applications in Edge-Cloud Continuum environments, enhancing Quality of Service (QoS) for users.