Abstract
The test and performance evaluation of high speed networks pose problems that cannot be solved by traditional equipment. In this paper, the concept of a powerful and versatile tool, capable of generating and detecting traffic to test and assess the performance of such networks, is presented.

Abstract
Recently, new parallel architectures, namely distributed shared memory architectures, have been proposed and built. These combine the ease-of-use of shared memory architectures with the scalability of the message-passing architectures. These architectures provide software and hardware support for shared virtual address space on physically distributed memory. This paper describes Dorpp, an execution model that supports or-parallelism for these machine architectures, namely for the EDS parallel machine. Dorpp uses a shared memory model for or-parallelism. It attempts, however, at exploiting locality and at reducing communication overheads through scheduling and by caching accesses to remote shared data. The problem of memory coherency of cached data is discussed and solutions are proposed. Preliminary evaluation results of the execution model through simulation are presented. © Springer-Verlag Berlin Heidelberg 1993.

Abstract
This work is about an environment in which it is possible to relate and treat sleep EEG, respiratory and cardiac data coming from different sources. Some data treatment is done on-line and full data treatment is allowed off-line. The on-line treatment includes Sleep Staging using an Artificial Neural Network (ANN). This paper will try to enhance the advantages of Object Oriented Programming in the package we developed and the consequent reliability of the system architecture.

Abstract
A biomedical digital signal format is presented. The format supports both raw and processed data, multiple epochs, several signal structures and representations and an open architecture. In order to support the format, an object oriented C language library is also presented.

Abstract
The integration in a computerized system of multimedia information used in a neurophysiology department is presented. Special attention is given to biological signal integration in the system due to its difficulty and absence of standard interface with acquisition equipment.

Abstract