Combining Distributed Computing and Massively Parallel Devices to Accelerate Stream Data Processing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10294717" target="_blank" >RIV/00216208:11320/15:10294717 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Combining Distributed Computing and Massively Parallel Devices to Accelerate Stream Data Processing
Original language description
Data streaming systems have been successfully employed for various data processing tasks. Their main benefit is that they simplify the design of data-intensive applications and they introduce many opportunities for task, data, and pipeline parallelism. In this work, we are proposing an enhancement for data streaming systems that allows distributed processing of the data streams and also introduce parallel accelerators, which can be utilized for data parallel subtasks. The viability of our approach is verified by integrating the support for heterogeneous accelerators into the Bobox system, which is a parallel framework for data stream processing.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the The Seventh International Conference on Advances in Databases, Knowledge, and Data Applications
ISBN
978-1-61208-408-4
ISSN
2308-4332
e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
IARIA
Place of publication
Řím
Event location
Řím
Event date
May 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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