In polling systems that have been studied in the literature, one usual
ly asserts independent Poisson arrivals. This assumption is, however,
unrealistic when dealing with many applications, e.g., local area netw
orks (LAN's) using token-ring protocols. The arrival processes there m
ay be quite irregular, highly bursty, and correlated. We use the new a
pproach for modeling such arrival streams proposed by Cruz [8], [9], t
o obtain strict upper bounds on several performance measures, It is ba
sed on characterizing the inputs by bounds on the average arrival rate
and the burstiness, and is especially useful in order to describe arr
ival streams that are filtered (policed) by leaky buckets, We first ob
tain bounds for the gated, exhaustive, and globally-gated service disc
iplines, and then consider timed token rings (such as the FDDI), The r
esults for the first three disciplines improve the general bounds obta
ined in [4] and [5]. We further obtain improved exponential bounds of
the type introduced by Chang [7], and Yaron and Sidi [17], for the glo
bally-gated discipline.