The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often invo...
Yong Zhao, Ioan Raicu, Ian T. Foster, Mihael Hateg...
With the advent of the data grid came a novel distributed scientific computing paradigm known as service-oriented science. Among the plethora of systems included under this framew...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
Resource performance in the Computational Grid is not only heterogeneous, but also changing dynamically. However scheduling algorithms designed for traditional parallel and distri...
In this paper, we present a runtime method for scheduling parallel applications on dynamic and heterogeneous platforms. It can be used to schedule parallel applications whose tota...
Salah-Salim Boutammine, Daniel Millot, Christian P...
Scheduling large amounts of tasks in distributed computing platforms composed of millions of nodes is a challenging goal, even more in a fully decentralized way and with low overhe...