Deep inference is a proof theoretical methodology that generalizes the traditional notion of inference in the sequent calculus: in contrast to the sequent calculus, the deductive ...
Energy saving is a paramount concern in wireless sensor networks (WSNs). A strategy for energy saving is to cleverly manage the duty cycle of sensors, by dynamically activating di...
Abstract. We present a scalable and flexible grouping service based on concast and best-effort single-source multicast. The service assigns participating end systems to specific gr...
In many data broadcasting applications clients are grouped into several groups, each one located at a different region, with the members of each group having similar demands. This...
Petros Nicopolitidis, Georgios I. Papadimitriou, M...
Domain-specific modeling (DSM) assists subject matter experts in describing the essential characteristics of a problem in their domain. Various software artifacts can be generated...
Faizan Javed, Marjan Mernik, Jeff Gray, Barrett R....