wireless-collaborative-computing

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anpar / EE-WCC-MapReduce

Source code of the numerical experiments presented in "Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce" by Antoine Paris, Hamed Mirghasemi, Ivan Stupia and Luc Vandendorpe (presented at SPAWC19).

distributed-computing internet-of-things map-reduce fog-computing sensor-network convex-optimization energy-efficiency wireless-communication mobile-computing cyber-physical-systems wireless-collaborative-computing

Updated Nov 5, 2019
Python

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