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PERCOM
2007
ACM
16 years 4 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
CAI
2002
Springer
15 years 4 months ago
The Computing and Data Grid Approach: Infrastructure for Distributed Science Applications
Grid technology has evolved over the past several years to provide the services and infrastructure needed for building "virtual" systems and organizations. With this Gri...
William E. Johnston
CODES
2009
IEEE
15 years 11 months ago
An on-chip interconnect and protocol stack for multiple communication paradigms and programming models
A growing number of applications, with diverse requirements, are integrated on the same System on Chip (SoC) in the form of hardware and software Intellectual Property (IP). The d...
Andreas Hansson, Kees Goossens
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
15 years 11 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
MOBIHOC
2006
ACM
16 years 4 months ago
Modeling steady-state and transient behaviors of user mobility: : formulation, analysis, and application
Recent studies on mobility modeling have focused on characterizing user mobility from real traces of wireless LANs (WLANs) and creating mobility models based on such characterizat...
Jong-Kwon Lee, Jennifer C. Hou