Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
The advent of large scale multi-hop wireless networks highlights problems of fault tolerance and scale in distributed system, motivating designs that autonomously recover from tra...
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Recently, under a fixed power budget, asymmetric multiprocessors (AMP) have been proposed to improve the performance of multi-threaded applications compared to symmetric multiproc...
This paper introduces a software DSM that can extend its shared object space exceeding 4GB in a 32bit commodity cluster environment. This is achieved through the dynamic memory ma...