Abstract

The Compute Continuum—spanning IoT, Edge, Cloud, and HPC resources—is reshaping how hyper-distributed applications are designed and orchestrated. Traditional service orchestrators and workload management systems rely on centralized runtimes; however, the emerging paradigm requires decentralized coordination, where autonomous agents cooperate to achieve common goals and dynamically distribute workloads. Consensus algorithms play a crucial role in multi-agent systems (MAS), as they enable agents to reach agreement on how to coordinate and execute functionalities in a cooperative manner. While consensus has previously been applied to distributed job selection, here we extend its use to swarm environments. In this setting, agents autonomously decide which service functionalities (i.e., roles) to execute based on their capabilities and the real-time quality of service (QoS). Functionalities …

Date

2026

Authors

Xavier Casas-Moreno, Komal Thareja, Pablo de Juan Vela, Rajiv Mayani, Josep Fanals-i-Batllori, Anirban Mandal, Ewa Deelman, Rosa M Badia, Francesc Lordan

Journal

Frontiers in Complex Systems

Volume

4

Pages

1800101

Publisher

Frontiers Media SA