Conventional workflow systems are primarily designed for intra-enterprise process
management, and they are hardly used to handle processes with tasks and data separated …

While cluster computing is well established, it is not clear how to co-ordinate clusters
consisting of many database components in order to process high workloads. In this paper …

Divisible load applications occur in many fields of science and engineering and can be
easily parallelized in a master-worker fashion, but pose several scheduling challenges …

Growth and usage trends for large decision support databases indicate that there is a need
for architectures that scale the processing power as the dataset grows. To meet this need …

Parallel database systems are increasingly being deployed to support the performance
demands of end-users. While declustering data across multiple nodes facilitates parallelism …

Connected dominating set based routing is a promising approach for enhancing the routing
efficiency in wireless ad hoc networks. However, finding the minimum dominating set in an …

Application scheduling plays an important role in high-performance cluster computing.
Application scheduling can be classified as job scheduling and task scheduling. This paper …

Similarity or distance between objects is one of the central concepts in data mining. In this
paper we consider the following problem: given a set of event sequences, define a useful …

Divisible load applications consist of a load, that is input data and associated computation,
that can be divided arbitrarily into independent pieces. Such applications arise in many …

The dynamic load balancing strategies for parallel association rule mining are proposed
under heterogeneous PC cluster environment. PC cluster is recently regarded as one of the …