Batch Markovian Arrival Processes (BMAP) (PREPRINT)

Abstract

This article describes the batch Markovian arrival process (BMAP), a point process that is characterized by Markov-modulated batch arrivals of random size. The BMAP is a generalization of many well-known processes including the Markovian arrival process (MAP), the Poisson process, and the Markov-modulated Poisson process. It provides a common framework for modeling arrival processes in a variety of applications. We formally define the continuous- and discrete-time BMAP, review a few basic results for each, and show how these processes generalize many common point processes. Additionally, we provide suggestions for further reading on the subject.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA536697

Entities

People

  • James D. Cordeiro
  • Jeffrey P. Kharoufeh

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Differential Equations
  • Equations
  • Generators
  • Industrial Engineering
  • Kolmogorov Equations
  • Markov Chains
  • Markov Processes
  • Networks
  • New York
  • Operations Research
  • Probability
  • Probability Distributions
  • Queueing Theory
  • Random Variables
  • Steady State
  • United States

Readers

  • Computational Modeling and Simulation
  • Materials Science and Engineering.
  • Theoretical Analysis.