Fluid limits for earliest-deadline-first networks

Rami Atar, Yonatan Shadmi

Research output: Contribution to journalArticlepeer-review


This paper analyzes fluid scale asymptotics of two models of generalized Jackson networks employing the earliest deadline first (EDF) policy. One applies the ‘soft’ EDF policy, where deadlines are used to determine priority but jobs do not renege, and the other implements ‘hard’ EDF, where jobs renege when deadlines expire, and deadlines are postponed with each migration to a new station. The arrival rates, deadline distribution and service capacity are allowed to fluctuate over time at the fluid scale. Earlier work on EDF network fluid limits, used as a tool to obtain stability of these networks, addressed only the soft version of the policy, and moreover did not contain a full fluid limit result. In this paper, tools that extend the notion of the measure-valued Skorokhod map are developed and used to establish for the first time fluid limits for both the soft and hard EDF network models.

Original languageEnglish
Pages (from-to)279-307
Number of pages29
JournalStochastic Processes and their Applications
StatePublished - Mar 2023


  • Earliest deadline first
  • Fluid limits
  • Generalized Jackson networks
  • Measure-valued Skorokhod map
  • Measure-valued processes

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Statistics and Probability
  • Modelling and Simulation


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