Dslash: Managing Data in Overloaded Batch Streaming Systems

Robert Birke, Mathias Bjoerkqvist, Evangelia Kalyvianaki, Lydia Y. Chen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Peak loads are a challenge for streaming systems. Here we present Dslash, a latency-driven controller that keeps and processes as much data as the system resources allow in order to meet a target latency.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages745-746
Number of pages2
Volume2016-August
ISBN (Electronic)9781509014828
DOIs
Publication statusPublished - 8 Aug 2016
Externally publishedYes
Event36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016 - Nara, Japan
Duration: 27 Jun 201630 Jun 2016

Conference

Conference36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016
CountryJapan
CityNara
Period27/06/1630/06/16

Fingerprint Dive into the research topics of 'Dslash: Managing Data in Overloaded Batch Streaming Systems'. Together they form a unique fingerprint.

  • Cite this

    Birke, R., Bjoerkqvist, M., Kalyvianaki, E., & Chen, L. Y. (2016). Dslash: Managing Data in Overloaded Batch Streaming Systems. In Proceedings - 2016 IEEE 36th International Conference on Distributed Computing Systems, ICDCS 2016 (Vol. 2016-August, pp. 745-746). [7536582] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICDCS.2016.96