Load balance is critical to achieving scalability for large network emulation studies, which are of compelling interest for emerging Grid, Peer to Peer, and other distributed appl...
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Wide-area service replication is becoming increasingly common, with the emergence of new operational models such as content delivery networks and computational grids. This paper d...
Bogdan C. Popescu, Bruno Crispo, Andrew S. Tanenba...
Numerical methods are developed for pricing European and American options under Kou's jump-diffusion model which assumes the price of the underlying asset to behave like a ge...
Distributed intelligence and secure interconnected communication networks constitute recognized key factors for the economic operation of electricity infrastructures in competitiv...