Power-aware scheduling problem has been a recent issue in cluster systems not only for
operational cost due to electricity cost, but also for system reliability. As recent commodity …

Data Grids are an emerging technology for managing large amounts of distributed data. This
technology is highly anticipated by scientific communities, such as in the area of astronomy …

Users perceive varying levels of utility for each different job completed by the cluster.
Therefore, there is a need for existing cluster resource management systems (RMS) to …

Economy models have long been considered as a promising complement to the classical
distributed resource management not only due of their dynamic and decentralized nature …

Cloud computing became so important due to virtualization and IT systems in this decade. It
has introduced as a distributed and heterogeneous computing pattern to sharing resources …

Dynamic pricing and good level of Pareto optimality make auctions more attractive for
resource allocation over other economic models. However, some auction models present …

Several scientific projects use BOINC (Berkeley Open Infrastructure for Network Computing)
to perform largescale simulations using volunteers' computers (workers) across the Internet …

Data intensive applications of remote sensing data processing are more and more
widespread resulting from the evolutions in computer and network technologies. Especially …

Utility computing has been anticipated to be the next generation of computing usage. Users
have the freedom to easily switch to any commercial computing service to complete jobs …

There is growing evidence that integrating classification and association rule mining can
produce more efficient and accurate classifiers than traditional techniques. This thesis …