Prototyping and implementing distributed algorithms, particularly those that address
challenges related with fault-tolerance and dependability, is a time consuming task. This is …

As distributed systems become more complex, understanding the underlying algorithms that
make these systems work becomes even harder. Traditional learning modalities based on …

Wireless sensor networks are often deployed in unattended environments and, thus, an
adversary can physically capture some of the sensors, build clones with the same identity as …

As distributed systems become more complex, understanding the underlying algorithms that
make these systems work becomes even harder. Traditional learning modalities based on …

Proving the correctness of distributed algorithms is a difficult challenge in dynamic networks.
In these networks, topological changes can take place due to unexpected appearance and …

Automatic Generation of DistAlgo Programs from Event-B Models | SpringerLink Skip to main
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A self-stabilizing distributed system can initially start at any state and regain a legal state in a
finite time without any external intervention. Self-stabilizing systems can automatically …

A population protocol is a computational model based on pairwise interactions and
designed for networks of passively mobile finite state agents. In the population protocol …

The flooding algorithm remains one of the simplest and most effective ways to quickly
disseminate information across all nodes in a Wireless Sensor Network. Though fast, this …

A distributed system is considered as a set of computers communicating through the network
and running collaboratively to coordinate their activities and to share the resources of the …