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We examine multiple independent sources providing status updates to a monitorthrough simple queues. We formulate an Age of Information (AoI) timelinessmetric and derive a general result for the AoI that is applicable to a widevariety of multiple source service systems. For first-come first-served and twotypes of last-come first-served systems with Poisson arrivals and exponentialservice times, we find the region of feasible average status ages for multipleupdating sources. We then use these results to characterize how a servicefacility can be shared among multiple updating sources. A new simplifiedtechnique for evaluating the AoI in finite-state continuous-time queueingsystems is also derived. Based on stochastic hybrid systems, this method makesAoI evaluation to be comparable in complexity to finding the stationarydistribution of a finite-state Markov chain.

The Age of Information: Real-Time Status Updating by Multiple Sources