6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Fractional Erlang Queues

      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

          We introduce a fractional generalization of the Erlang Queues \(M/E_k/1\). Such process is obtained through a time-change via inverse stable subordinator of the classical queue process. We first exploit the (fractional) Kolmogorov forward equation for such process, then we use such equation to obtain an interpretation of this process in the queuing theory context. Then we also exploit the transient state probabilities and some features of this fractional queue model, such as the mean queue length, the distribution of the busy periods and some conditional distributions of the waiting times. Finally, we provide some algorithms to simulate their sample paths.

          Related collections

          Most cited references14

          • Record: found
          • Abstract: not found
          • Article: not found

          Fractional Poisson process

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Fractional Poisson Process and the Inverse Stable Subordinator

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Limit theorems for occupation times of Markov processes

              N. Bingham (1971)
                Bookmark

                Author and article information

                Journal
                27 December 2018
                Article
                1812.10773
                fe3fb5c9-499e-4bae-85c8-a5ad68d5563e

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

                History
                Custom metadata
                60K15, 60K20, 60K25, 26A33
                27 pages, 4 figures
                math.PR

                Probability
                Probability

                Comments

                Comment on this article