Dslash
Managing Data in Overloaded Batch Streaming Systems
Conference Paper
(2016)
Author(s)
Robert Birke (Zurich Lab)
Mathias Bjoerkqvist (Zurich Lab)
Evangelia Kalyvianaki (City University London)
Lydia Y. Chen (Zurich Lab)
Affiliation
External organisation
DOI related publication
https://doi.org/10.1109/ICDCS.2016.96
Final published version
To reference this document use
https://resolver.tudelft.nl/uuid:38dd3a44-5029-4faa-bf93-835ab5c59804
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Publication Year
2016
Language
English
Affiliation
External organisation
Volume number
2016-August
Article number
7536582
Pages (from-to)
745-746
ISBN (electronic)
9781509014828
Event
36th IEEE International Conference on Distributed Computing Systems, ICDCS 2016 (2016-06-27 - 2016-06-30), Nara, Japan
Downloads counter
107
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.