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Event dissemination in large scale dynamic systems is typically
claimed to be best achieved using decentralized peer-to-peer
architectures. The rationale is to have every participant in the
system act both as a client (information consumer) and as a server
(information dissemination enabler), thus, precluding specific
brokers which would prevent scalability and fault-tolerance. We
argue that, for such decentralized architectures to be really
meaningful, participants should serve the system as much as they
benefit from it. That is, the system should be fair in the sense
that the extend to which a participant acts as a server should
depend on the extend to which it has the opportunity to act as a
client. This is particularly crucial in selective information
dissemination schemes where clients are not all interested in the
same information. In this position paper, we discuss what a notion
of fairness could look like, explain why current architectures are
not fair, and raise several challenges towards achieving fairness.
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