Gossiping is a widely known and successful approach to reliable communications, tolerating
packet losses and link crashes. It has been extensively used in several middleware kinds …

Gossiping is an effective way of disseminating information in large dynamic systems. Until
now, most gossiping algorithms have been designed and evaluated using simulations …

In the era of Internet-scale applications, an increasing number of services are distributed
over pools of thousands to millions of networked computers. Along with the obvious …

The gossip paradigm made its first appearance in distributed systems in 1987, when it was
applied to disseminate updates in replicated databases. Two decades later, gossip-based …

The developers of today's cloud computing systems are expected to not only create
applications that will work well at scale, but also to create management services that will …

Gossip protocols provide probabilistic reliability and scalability, but their inherent
randomness may lead to high variation in number of messages that are received at different …

We present a family of gossiping algorithms whose members share the same structure
though they vary their performance in function of a combinatorial parameter. We show that …

A family of gossiping algorithms depending on a combinatorial parameter is introduced,
formalized, and discussed. Three members are analyzed. It is shown that, depending on the …

In unstructured networks, gossiping protocols prescribe that a message, received by a node,
is not forwarded with certainty to all its neighbors (as happens in flooding protocols), but only …

Gossip-based communication protocols are attractive in cases where absolute delivery
guarantees are not required due to their scalability, low overhead, and probabilistically high …