Rejuvenation and the Age of Information Two decades after the seminal paper on software aging and rejuvenation appeared in 1995, a new concept and metric referred to as the age of information (AoI) has been gaining attention from practitioners and the research community. In this vision paper, our aim is to show the similarities and differences between software aging and information aging. In particular, modeling frameworks that have been applied to software aging, such as the semi Markov approach can be immediately applied in the realm of age of information. Conversely, we indicate that questions pertaining to sampling costs associated with the age of information can be useful to assess the optimal rejuvenation trigger interval for software systems.

Relative Age of Information: A New Metric for Status Update Systems In this paper, we introduce a new data freshness metric, relative Age of Information (rAoI), and examine it in a single server system with various packet management schemes. The (classical) AoI metric was introduced to measure the end to end freshness of status updates at the receiver with respect to their generation at the source. In order to understand the efficiency of the update delivery system in isolation, we introduce rAoI metric to measure how fresh the data is at the receiver with respect to the data at the transmitter. This metric introduces an explicit dependence on the arrival process in the evaluation of age. We investigate several queuing disciplines and provide closed form expressions for rAoI and numerical comparisons.