Distributed data aggregation is an important task, allowing the decentralized determination
of meaningful global properties, which can then be used to direct the execution of other …

Today's scientific simulations require a significant reduction of the data size because of
extremely large volumes of data they produce and the limitation of storage bandwidth and …

We investigate the use of gossip protocols for continuous monitoring of network-wide
aggregates under crash failures. Aggregates are computed from local management …

We present A-GAP, a novel protocol for continuous monitoring of network state variables,
which aims at achieving a given monitoring accuracy with minimal overhead. Network state …

Gossip (or Epidemic) protocols have emerged as a communication and computation
paradigm for large-scale networked systems. These protocols are based on randomised …

Over the last decade, the number, size and complexity of large-scale networked systems has
been growing fast, and this trend is expected to accelerate. The best known example of a …

Network management has steadily evolved over recent years. Along with the growing need
for advanced features in network management solutions, several distribution models were …

In large scale decentralized and dynamic networks such as Peer-to-Peer ones, being able to
deal with quality of service requires the establishment of a decentralized, autonomous and …

The timely detection that a monitored variable has crossed a given threshold is a
fundamental requirement for many network management applications. A challenge is the …

The effectiveness of current anti-spam systems is limited by the ability of spammers to adapt
to new filtering techniques and the lack of incentive for mail domains to filter outgoing spam …