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Social sensing: building reliable systems on unreliable data
Wang D., Abdelzaher T., Kaplan L., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 232 pp. Type: Book (978-0-128008-67-6)
Social sensing is one of the newest concepts of the Internet, fueled by the growth of sensors. The increasing need for communication and connectivity while one is on the move makes up a very important characteristic of social sensing. ...
May 18 2016
On truth discovery in social sensing: a maximum likelihood estimation approach
Wang D., Kaplan L., Le H., Abdelzaher T. IPSN 2012 (Proceedings of the 11th International Conference on Information Processing in Sensor Networks, Beijing, China, Apr 16-20, 2012) 233-244, 2012. Type: Proceedings
Truth discovery in noisy social sensing data represents a challenging task. This paper presents a maximum likelihood estimation algorithm that computes the probability that a given measurement is true based on sensory data collected th...
Jun 1 2012
Reduction-based schedulability analysis of distributed systems with cycles in the task graph
Jayachandran P., Abdelzaher T. Real-Time Systems 46(1): 121-151, 2010. Type: Article
Acyclic tasks have been analyzed to death. When cycles are added to any task graph, practically all forms of analysis fall apart. Hence, most research tends to focus on forming upper bounds on some metric, whether it’s schedu...
Mar 4 2011
Real time scheduling theory: a historical perspective
Sha L., Abdelzaher T., Årzén K., Cervin A., Baker T., Burns A., Buttazzo G., Caccamo M., Lehoczky J., Mok A. Real-Time Systems 28(2-3): 101-155, 2004. Type: Article
At the core of slim mobile phones, or complex information systems for airplanes, are real-time kernels that schedule tightly time-constrained parallel processes. To avoid the maintenance nightmare of real-time systems designed in an ad...
Jun 29 2006
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