Deadline-aware rate allocation for IoT services in data center network

Bo Shen, Naveen Chilamkurti, Ru Wang, Xingshe Zhou, Shiwei Wang, Wen Ji

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Data center is the key infrastructure for a plenty of applications involving a high volume of data in Internet of Things (IoT). The Data Center Network (DCN) connecting multiple servers plays a vital role. Its mechanism for managing the traffic has a significant impact on the performance of IoT services. To guarantee the real-time performance of IoT services is one of the major challenges. In the paper Deadline-aware Rate Allocation (DRA) algorithm for scheduling the heterogeneous flows in DCNs is proposed. A non-cooperative game-theoretic framework is introduced to model the interactions in the scenario. The core idea of DRA is to assign the traffic with deadline constraints a higher priority. The worker with a lower served rate in the past period is assigned a higher priority. Meanwhile, DRA is a kind of preemptive algorithm. Simulation results have shown that under the mechanism flows wait shorter time and the real-time performance is guaranteed. DRA also achieves good fairness among different IoT services.

Original languageEnglish
Pages (from-to)296-306
Number of pages11
JournalJournal of Parallel and Distributed Computing
Volume118
DOIs
StatePublished - Aug 2018

Keywords

  • Big data
  • Data center network
  • Incast congestion
  • Internet of things
  • Online service

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