We present a Scalable Distributed Information Management System (SDIMS) that aggregates information about large-scale networked systems and that can serve as a basic building bloc...
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
Deadlock detection scheduling is an important, yet oft-overlooked problem that can significantly affect the overall performance of deadlock handling. An excessive initiation of ...
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Over recent years, "Internet-able" applications have been used to support domains where distributed functionality is essential. This flexibility is also pertinent in situ...