Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
This paper investigates an application of mobile sensing: detecting and reporting the surface conditions of roads. We describe a system and associated algorithms to monitor this i...
Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newto...
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Extending the tabletop to the third dimension has the potential to improve the quality of applications involving 3D data and tasks. Recognizing this, a number of researchers have ...