On Building Modular and Elastic Data Structures with Bulk Operations

Kevin Williams, Joe Foster, Athicha Srivirote, Ahmed Hassan, Joseph Tassarotti, Lewis Tseng, Roberto Palmieri

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

Abstract

This paper introduces MEDS, a modular and elastic framework that simplifies the development of high-performance concurrent data structures that support linearizable primitive (i.e., add, remove, contains) and bulk (e.g., range query) operations.

Original languageEnglish (US)
Title of host publicationICDCN 2021 - Proceedings of the 2021 International Conference on Distributed Computing and Networking
PublisherAssociation for Computing Machinery
Pages237-238
Number of pages2
ISBN (Electronic)9781450389334
DOIs
StatePublished - Jan 5 2021
Event22nd International Conference on Distributed Computing and Networking, ICDCN 2021 - Virtual, Online, Japan
Duration: Jan 5 2021Jan 8 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference22nd International Conference on Distributed Computing and Networking, ICDCN 2021
Country/TerritoryJapan
CityVirtual, Online
Period1/5/211/8/21

Keywords

  • Concurrency
  • Concurrent Data Structures
  • Range Queries

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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