GitHub / 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).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anpar%2FEE-WCC-MapReduce
PURL: pkg:github/anpar/EE-WCC-MapReduce
Stars: 7
Forks: 0
Open issues: 0
License: other
Language: Python
Size: 36.1 KB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: about 2 years ago
Pushed at: over 5 years ago
Last synced at: almost 2 years ago
Topics: convex-optimization, cyber-physical-systems, distributed-computing, energy-efficiency, fog-computing, internet-of-things, map-reduce, mobile-computing, sensor-network, wireless-collaborative-computing, wireless-communication