Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
: 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 ...
Comparing systems using measurement, simulation, and queueing models. Common mistakes and how to avoid them, selection of techniques and metrics, art of data presentation, summariz...
Location-based applications and services are getting increasingly important for mobile users. They take into account a mobile user's current location and provide a location-d...
More and more parallel applications are running in a distributed environment to take advantage of easily available and inexpensive commodity resources. For data intensive applicat...