HUILLY: A Non-Blocking Ingestion Buffer for Timestepped Simulation Analytics

Xiaorui Du, Andrea Piccione, Adriano Pimpini, Stefano Bortoli, Alois Knoll, Alessandro Pellegrini

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

Abstract

We present HUILLY, a non-blocking data ingestion buffer designed for parallel applications built relying on time-stepped, fork-join computational paradigm. It provides complete data separation, reducing the intricacies of multi-threaded data structures and provides high operational efficiency. The effectiveness of HUILLY as a non-blocking ingestion buffer is demonstrated through an extensive experimental evaluation, providing significant improvements in throughput and latency for time-stepped, fork-join applications.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-118
Number of pages6
ISBN (Electronic)9798350395662
DOIs
StatePublished - 2024
Event24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024 - Philadelphia, United States
Duration: 6 May 20249 May 2024

Publication series

NameProceedings - 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024

Conference

Conference24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024
Country/TerritoryUnited States
CityPhiladelphia
Period6/05/249/05/24

Keywords

  • Data Analytics
  • Ingestion Buffer
  • Non-Blocking
  • Simulation
  • Stream Processing
  • Time-Stepped

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