: Data distribution is one of the key aspects that a parallelizing compiler for a distributed memory architecture should consider, in order to get efficiency from the system. The ...
—It is critical to adapt clear and representative real world traffic properties as groundwork for the contemporary and emergent future Internet workload generation. Byte count p...
Middleware facilitates the development of distributed systems by accommodating heterogeneity, hiding distribution details and providing a set of common and domain specific service...
As distributed technologies become more widely used, the need for assessing the quality of distributed applications correspondingly increases. Despite the rich body of research an...
Distributed Computing, the exploitation of idle cycles on pervasive desktop PC systems offers the opportunity to increase the available computing power by orders of magnitude (10x...