Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
— This paper presents an analytical approach to determining the maximum number of on/off voice flows that can be supported over a wireless local area network (WLAN), under a qua...
Yu Cheng, Xinhua Ling, Wei Song, Lin X. Cai, Weihu...
To manage load on large and dynamic networks we have developed Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute. A disadvantage of d...
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-theshelf processors become cheaper and faster, it...
Distributed databases and other networked information systems use copies or mirrors to reduce latency and to increase availability. Copies need to be refreshed. In a loosely coupl...