Locality Aware Task Scheduling in Parallel Data Stream Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10218422" target="_blank" >RIV/00216208:11320/14:10218422 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-10422-5_35" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-10422-5_35</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-10422-5_35" target="_blank" >10.1007/978-3-319-10422-5_35</a>
Alternative languages
Result language
angličtina
Original language name
Locality Aware Task Scheduling in Parallel Data Stream Processing
Original language description
Parallel data processing and parallel streaming systems become quite popular. They are employed in various domains such as real-time signal processing, OLAP database systems, or high performance data extraction. One of the key components of these systemsis the task scheduler which plans and executes tasks spawned by the system on available CPU cores. The multiprocessor systems and CPU architecture of the day become quite complex, which makes the task scheduling a challenging problem. In this paper, wepropose a novel task scheduling strategy for parallel data stream systems, that rejects many technical issues of the current hardware. We were able to achieve up to 3x speed up on a NUMA system and up to 10% speed up on an older SMP system with respect to the unoptimized version of the scheduler. The basic ideas implemented in our scheduler may be adopted for task schedulers that focus on other priorities or employ different constraints.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 8th International Symposium on Intelligent Distributed Computing - IDC'2014
ISBN
978-3-319-10421-8
ISSN
1860-949X
e-ISSN
—
Number of pages
12
Pages from-to
331-342
Publisher name
Springer Verlag
Place of publication
Madrid
Event location
Madrid
Event date
Sep 3, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—