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Automatic Partitioning: Prototyping Ubiquitous-Computing Applications
July-September 2004 (vol. 3 no. 3)
pp. 40-47
Nikitas Liogkas, University of California, Los Angeles
Blair MacIntyre, Georgia Institute of Technology
Elizabeth D. Mynatt, Georgia Institute of Technology
Yannis Smaragdakis, Georgia Institute of Technology
Eli Tilevich, Georgia Institute of Technology
Stephen Voida, Georgia Institute of Technology
A main challenge facing ubiquitous computing R&D is the difficulty of writing software for complex, distributed applications. Automatic application partitioning can help rapidly prototype ubiquitous computing systems. The J-Orchestra automatic-partitioning system lets developers largely ignore distribution issues; it provides the tools for generating distribution code automatically, under user guidance. Automatic partitioning is promising for a large class of ubiquitous computing applications.
Index Terms:
ubiquitous computing, distributed systems programming, automatic partitioning
Nikitas Liogkas, Blair MacIntyre, Elizabeth D. Mynatt, Yannis Smaragdakis, Eli Tilevich, Stephen Voida, "Automatic Partitioning: Prototyping Ubiquitous-Computing Applications," IEEE Pervasive Computing, vol. 3, no. 3, pp. 40-47, July-Sept. 2004, doi:10.1109/MPRV.2004.1321027
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