This chapter deals with interoperability among pervasive networked systems, in particular
accounting for the heterogeneity of protocols from the application down to the middleware …

In this chapter we give an introduction to active learning of Mealy machines, an automata
model particularly suited for modeling the behavior of realistic reactive systems. Active …

Interoperability is a fundamental problem in distributed systems, and an increasingly difficult
problem given the level of heterogeneity and dynamism exhibited by contemporary systems …

Interoperability remains a challenging and growing problem within distributed systems. A
range of heterogeneous network and middleware protocols which cannot interact with one …

Computer systems today are no longer monolithic programs; instead they usually comprise
multiple interacting programs. With the continuous growth of these systems and with their …

In this paper, we revisit the concept of never-stop learning, a combination of active automata
learning and runtime monitoring. Published research focuses on regular systems and …

On the fly synthesis of mediators is a revolutionary approach to the seamless networking of
today's and future digital systems that increasingly need be connected. The resulting …

Interoperability remains a significant challenge in today's distributed systems; it is necessary
to quickly compose and connect (often at runtime) previously developed and deployed …

Highly dynamic and heterogeneous distributed systems are challenging today's middleware
technologies. Existing middleware paradigms are unable to deliver on their most central …

The article examines the features of conducting and organising e-commerce in the
development of the global economy. The efficiency of e-commerce is assessed by complex …