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Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce
- Publication Year :
- 2019
-
Abstract
- In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks. Using the Map-Reduce distributed computing framework, the tasks are optimally distributed amongst the nodes with the objective of minimizing the total energy consumption of the nodes while satisfying a latency constraint. The derived optimal collaborative-computing scheme takes into account both the computing capabilities of the nodes and the strength of their communication links. Numerical simulations illustrate the benefits of the proposed optimal collaborative-computing scheme over a blind collaborative-computing scheme and the non-collaborative scenario, both in term of energy savings and achievable latency. The proposed optimal scheme also exhibits the interesting feature of allowing to trade energy for latency, and vice versa.<br />Comment: 5 pages, 5 figures, submitted to SPAWC19
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1903.02294
- Document Type :
- Working Paper