  We consider a scenario where a monitor is interested in being up to date with
respect to the status of some system which is not directly accessible to this
monitor. However, we assume a source node has access to the status and can send
status updates as packets to the monitor through a communication system. We
also assume that the status updates are generated randomly as a Poisson
process. The source node can manage the packet transmission to minimize the age
of information at the destination node, which is defined as the time elapsed
since the last successfully transmitted update was generated at the source. We
use queuing theory to model the source-destination link and we assume that the
time to successfully transmit a packet is a gamma distributed service time. We
consider two packet management schemes: LCFS (Last Come First Served) with
preemption and LCFS without preemption. We compute and analyze the average age
and the average peak age of information under these assumptions. Moreover, we
extend these results to the case where the service time is deterministic.
