Age-Oriented Scheduling of Correlated Sources in Multi-server System
Résumé
This paper investigates a system formed by N sources, each of them sending status updates of a process of interest though a multiserver queue. Taking into consideration the mutual correlation across different sources, we propose an innovative model in which this correlation was modelled as an additional, virtual information source. Assuming that replication of packets to multiple servers is allowed, we present a policy to reduce the sum age of information (AoI) of these N sources. Our numerical results demonstrate the superiority of the proposed policy when compared to the popular Last-Generate First-Serve policy.