Geographic Information Systems (GIS) are increasingly managing very large sets of data and hence a centralized data repository may not always provide the most scalable solution. H...
Distributing spatially located heterogeneous workloads is an important problem in parallel scientific computing. We investigate the problem of partitioning such workloads (repres...
In the area of Grid computing, there is a growing need to process large amounts of data. To support this trend, we need to develop efficient parallel storage systems that can prov...
This paper describes an algorithm that allows Linux to perform multilevel load balancing in NUMA computers. The Linux scheduler implements a load balancing algorithm that uses str...
— Due to the increased usage of NAT boxes and firewalls, it has become harder for applications to establish direct connections seamlessly among two end-hosts. A recently adopted...
Hung Xuan Nguyen, Daniel R. Figueiredo, Matthias G...