Distributed processing environments such as that of a traffic management network system (TMS) can be implemented easier, faster, and secure and perform better through use of auton...
Abstract. Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the underlying non-...
Abstract: The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an increasing rate. Distribution is a key solution to overcome this data...
Fabian Groffen, Martin L. Kersten, Stefan Manegold
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
A principle task in parallel and distributed systems is to reduce the communication load in the interconnection network, as this is usually the major bottleneck for the performanc...