Large profits or fast gains: A dilemma in maximizing throughput with applications to network processors

Kirill Kogan, Alejandro López-Ortiz, Sergey I. Nikolenko, Gabriel Scalosub, Michael Segal

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We consider the fundamental problem of managing a bounded size queue buffer where traffic consists of packets of varying size, each packet requires several rounds of processing before it can be transmitted out, and the goal is to maximize the throughput, i.e., total size of successfully transmitted packets. Our work addresses the tension between two conflicting algorithmic approaches: favoring packets with fewer processing requirements as opposed to packets of larger size. We present a novel model for studying such systems and study the performance of online algorithms that aim to maximize throughput.

Original languageEnglish
Pages (from-to)31-43
Number of pages13
JournalJournal of Network and Computer Applications
Volume74
DOIs
StatePublished - 1 Oct 2016

Keywords

  • Online buffer management
  • Online scheduling

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