Wireless MapReduce Distributed Computing

Understand

Motivated by mobile edge computing and wireless data centers, we study a wireless distributed computing framework where the distributed nodes exchange information over a wireless interference network.

• Our framework follows the structure of MapReduce.
• This framework consists of Map, Shuffle, and Reduce phases, where Map and Reduce are computation phases and Shuffle is a data transmission phase.
• In our setting, we assume that the transmission is operated over a wireless interference network.