Advances in the development of large scale distributed computing systems such as Grids and Computing Clouds have intensified the need for developing scheduling algorithms capable...
Claris Castillo, George N. Rouskas, Khaled Harfous...
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Providing up-to-date input to users’ applications is an important data management problem for a distributed computing environment, where each data storage location and intermedi...
Mitchell D. Theys, Noah Beck, Howard Jay Siegel, M...
With the increased realisation of the benefits of studying environmental data, sensor networks are rapidly scaling in size, heterogeneity of data, and applications. In this paper...