Formalizing compute-aggregate problems in cloud computing

Pavel Chuprikov, Alex Davydow, Kirill Kogan, Sergey Nikolenko, Alexander Sirotkin

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

1 Scopus citations

Abstract

Efficient representation of data aggregations is a fundamental problem in modern big data applications, where network topologies and deployed routing and transport mechanisms play a fundamental role to optimize desired objectives: cost, latency, and others. We study the design principles of routing and transport infrastructure and identify extra information that can be used to improve implementations of compute-aggregate tasks. We build a taxonomy of compute-aggregate services unifying aggregation design principles, propose algorithms for each class and analyze them.

Original languageEnglish
Title of host publication25th International Colloquium, SIROCCO 2018, Revised Selected Papers
EditorsZvi Lotker, Boaz Patt-Shamir
Pages377-391
Number of pages15
DOIs
StatePublished - 2018
Externally publishedYes
Event25th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2018 - Ma’ale HaHamisha, Israel
Duration: 18 Jun 201821 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11085
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2018
Country/TerritoryIsrael
CityMa’ale HaHamisha
Period18/06/1821/06/18

Keywords

  • Cloud computing
  • Compute-aggregate problems

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