A learning based framework for mec server planning with uncertain bss demands

HIGHLIGHTS

• who: MENGHAN SHAO and colleagues from the Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China have published the paper: A Learning Based Framework for MEC Server Planning With Uncertain BSs Demands, in the Journal: (JOURNAL) of June/30,/2014
• what: The authors aim to address the problem of MEC edge servers planning with uncertain resource demands by the means of a learning-based approach. Due to the complexity of solving such a joint-uncertain problem, the authors design a learning-based framework, which integrates stochastic simulation, neural_network, and genetic algorithm (GA). The . . .
  

   

  

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