2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Offloading Optimization with Delay Distribution in the 3-tier Federated Cloud, Edge, and Fog Systems

      Preprint
      , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Mobile edge computing and fog computing are promising techniques providing computation service closer to users to achieve lower latency. In this work, we study the optimal offloading strategy in the three-tier federated computation offloading system. We first present queueing models and closed-form solutions for computing the service delay distribution and the probability of the delay of a task exceeding a given threshold. We then propose an optimal offloading probability algorithm based on the sub-gradient method. Our numerical results show that our simulation results match very well with that of our closed-form solutions, and our sub-gradient-based search algorithm can find the optimal offloading probabilities. Specifically, for the given system parameters, our algorithm yields the optimal QoS violating probability of 0.188 with offloading probabilities of 0.675 and 0.37 from Fog to edge and from edge to cloud, respectively.

          Related collections

          Author and article information

          Journal
          11 July 2021
          Article
          2107.05015
          7d411a60-bf5c-4f50-b965-9db3dbc7544c

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          submitted to IEEE Globecom 2021
          cs.NI

          Networking & Internet architecture
          Networking & Internet architecture

          Comments

          Comment on this article