Recent advances in computing and communication have given rise to the computational grid notion. The core of this computing paradigm is the design of a system for drawing compute ...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has preven...
A significant open issue in cloud computing is performance. Few, if any, cloud providers or technologies offer quantitative performance guarantees. Regardless of the potential adv...
Zach Hill, Jie Li, Ming Mao, Arkaitz Ruiz-Alvarez,...