11th EAI International Conference on Performance Evaluation Methodologies and Tools

Research Article

On dimensioning Cloud-RAN systems

  • @INPROCEEDINGS{10.4108/eai.5-12-2017.2274367,
        author={Veronica  Quintuna Rodriguez and Fabrice  Guillemin},
        title={On dimensioning Cloud-RAN systems},
        proceedings={11th EAI International Conference on Performance Evaluation Methodologies and Tools},
        publisher={ACM},
        proceedings_a={VALUETOOLS},
        year={2018},
        month={8},
        keywords={cloud-ran nfv scheduling dimensioning m[x]/m/c queue},
        doi={10.4108/eai.5-12-2017.2274367}
    }
    
  • Veronica Quintuna Rodriguez
    Fabrice Guillemin
    Year: 2018
    On dimensioning Cloud-RAN systems
    VALUETOOLS
    ACM
    DOI: 10.4108/eai.5-12-2017.2274367
Veronica Quintuna Rodriguez1,*, Fabrice Guillemin1
  • 1: Orange Labs
*Contact email: veronicakarina.quintunarodriguez@orange.com

Abstract

We investigate in this paper the implementation of a Cloud-RAN architecture, where several software-based Base Band Units (BBUs) are collocated in a cloud data center. We specifically study several scheduling strategies in order to accelerate the runtime of virtualized BBU functions, and thus, to increase the span of a Cloud-RAN system, given that there are fixed deadlines for the execution of these functions. The main goal of this work is to obtain a simple model for dimensioning a Cloud-RAN infrastructure. For this purpose, we introduce the M[X]/M/C model to capture the behavior of a BBU-pool running on a multi-core platform. The theoretical approach is validated by simulation when performing a Cloud-RAN system hosting one hundred of base stations.