Characterizing the cloud's outbound network latency: An experimental and modeling study

Zheng Li, Francisco Millar-Bilbao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud latency has critical influences on the success of cloud applications. Therefore, characterizing cloud network performance is crucial for analyzing and satisfying different latency requirements. By focusing on the cloud's outbound network latency, this case study on Google App Engine confirms the necessity of optimizing application deployment. More importantly, our modeling effort has established a divide-and-conquer framework to address the complexity in understanding and investigating the cloud latency.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE Cloud Summit
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-173
Number of pages2
ISBN (Electronic)9781728182667
ISBN (Print)9781728182674
DOIs
Publication statusPublished - 15 Dec 2020
Externally publishedYes
Event2020 IEEE Cloud Summit -
Duration: 21 Oct 202022 Oct 2020

Publication series

NameProceedings of the Cloud Summit

Conference

Conference2020 IEEE Cloud Summit
Period21/10/202022/10/2020

Bibliographical note

Funding Information:
This work is supported in part by Chilean National Commission for Scientific and Technological Research (CONICYT, Chile) under Grant FONDECYT Iniciación 11180905.

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Cloud application
  • Data transmission
  • Geographical location
  • Internet topology
  • Outbound network latency

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems and Management
  • Control and Optimization

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