Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
Grid computing has been widely adopted for intensive high performance computing. Since grid resources are distributed over complex large-scale infrastructures, understanding grid ...
Tiejun Ma, Yehia El-khatib, Michael Mackay, Christ...
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
Allowing loose coupling between complex e-Science applications has many advantages, such as being able to easily incorporate new applications and to flexibly specify how the appl...
This paper introduces an adaptive parallel pipeline pattern which follows the GRASP (Grid-Adaptive Structured Parallelism) methodology. GRASP is a generic methodology to incorpora...