Statistical Analysis of the End-to-End Delay of Packet Transfers in a Peer-to-Peer Network

Natalia M. Markovich, Udo R. Krieger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The paper is devoted to the statistical analysis of the end-to-end (E2E) delay of packet transfers between source and destination nodes in a peer-to-peer (P2P) overlay network. We focus on the identification of the E2E delay and the longest per-hop delay distributions and the stochastic dependence of the associated random process. The E2E delay is determined by the sum of a random number of dependent per-hop (p-h) delays along the links of a considered overlay path and the longest per-hop delay by their maximum. We propose to use the sum of the p-h delays to get a distribution of the maximum which is motivated by the available statistical data of the E2E delays. Based on recent analytic results derived from extreme-value theory we show that such sums and maxima corresponding to different paths may have the same tail and extremal indexes. These indexes determine the heaviness of the distribution tail and the dependence of extremes. Using the extremal index we identify limit distributions of the maxima of the E2E delays and the maxima of the p-h delays at a path among all source-destination paths. Considering real-time applications with stringent E2E-delay constraints, the distributions are used to identify quality-of-service (QoS) metrics of a P2P model like the packet missing probability and the corresponding playback delay as well as the equivalent capacity of a transport channel.

Original languageEnglish
Title of host publicationDistributed Computer and Communication Networks - 23rd International Conference, DCCN 2020, Revised Selected Papers
EditorsVladimir M. Vishnevskiy, Dmitry V. Kozyrev, Konstantin E. Samouylov, Dmitry V. Kozyrev
PublisherSpringer Science and Business Media Deutschland GmbH
Pages282-297
Number of pages16
ISBN (Print)9783030664701
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
Event23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020 - Moscow, Russian Federation
Duration: 14 Sep 202018 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12563 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Distributed Computer and Communication Networks, DCCN 2020
Country/TerritoryRussian Federation
CityMoscow
Period14/09/2018/09/20

Keywords

  • End-to-end delay
  • Equivalent capacity
  • Extremal index
  • P2P network
  • Packet missing probability
  • Per-hop delay
  • Playback delay
  • Quality-of-service
  • Tail index

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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