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2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT) (2010)
Vienna, Austria
Sept. 11, 2010 to Sept. 15, 2010
ISBN: 978-1-5090-5032-1
pp: 227-236
Pradip Hari , Dept. of Computer Science, Rutgers University, USA
John B. P. McCabe , Dept. of Computer Science, Rutgers University, USA
Jonathan Banafato , Dept. of Computer Science, Rutgers University, USA
Marcus Henry , Dept. of Computer Science, Rutgers University, USA
Kevin Ko , Dept. of Electrical Engineering, Princeton University, USA
Emmanouil Koukoumidis , Dept. of Electrical Engineering, Princeton University, USA
Ulrich Kremer , Dept. of Computer Science, Rutgers University, USA
Margaret Martonosi , Dept. of Electrical Engineering, Princeton University, USA
Li-Shiuan Peh , Dept. of Electrical Engineering and Computer Science, MIT, USA
ABSTRACT
Dynamic networks—spontaneous, self-organizing groups of devices—are a promising new computing platform. Writing applications for such networks is a daunting task, however, due to their extreme variability and unpredictability, with many devices having significant resource limitations. Intelligent, automated distribution of work across network nodes is needed to get the most out of limited resource budgets.
INDEX TERMS
resource-awareness, Spatial programming, spatiotemporal programming, dynamic networks, ad hoc networks, node selection, adaptive scheduling, feedback-directed scheduling, quality of result, location-awareness
CITATION
Pradip Hari, John B. P. McCabe, Jonathan Banafato, Marcus Henry, Kevin Ko, Emmanouil Koukoumidis, Ulrich Kremer, Margaret Martonosi, Li-Shiuan Peh, "Adaptive spatiotemporal node selection in dynamic networks", 2010 19th International Conference on Parallel Architectures and Compilation Techniques (PACT), vol. 00, no. , pp. 227-236, 2010, doi:
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