While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
This paper describes a simple scheduling procedure for use in multicast data distribution within a logistical networking infrastructure. The goal of our scheduler is to generate a...
Jason Zurawski, D. Martin Swany, Micah Beck, Ying ...
This paper presents a Grid environment developed for analysis of MRI brain data on global Grids. In the current experiment, the MRI data analysis tasks are composed and formulated...
Scott Kolbe, Tianchi Ma, Wei Liu, Wee Siong Soh, R...