English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We consider a multi-source status update system, where each source generatesstatus update packets according to a Poisson process which are then servedaccording to a generally distributed service time. For this multi-sourceM/G/1/1 queueing model, we introduce a source-aware preemptive packetmanagement policy and derive the moment generating functions (MGFs) of the ageof information (AoI) and peak AoI of each source. According to the policy, anarriving fresh packet preempts the possible packet of the same source in thesystem. Furthermore, we derive the MGFs of the AoI and peak AoI for thesource-agnostic preemptive and non-preemptive policy, for which only theaverage AoI and peak AoI have been derived earlier. Finally, we use the MGFs toderive the average AoI and peak AoI in a two-source M/G/1/1 queueing modelunder each policy. Numerical results show the effect of the service timedistribution parameters on the average AoI: for a given service rate, when thetail of the service time distribution is sufficiently heavy, thesource-agnostic preemptive policy is the best policy, whereas for asufficiently light tailed distribution, the non-preemptive policy is the bestpolicy. The results also highlight the importance of higher moments of the AoI.

Moment Generating Function of Age of Information in Multi-Source M/G/1/1 Queueing Systems