Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Adaptive Scheduling Based CPU/IO in Storm

Authors
Xinli Zhang
Corresponding Author
Xinli Zhang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.517How to use a DOI?
Keywords
Big Data, Adaptive Scheduling, Storm.
Abstract

Storm is a real-time streaming of Big data processing field tools. But the task of topology will even divided to the executors in worker node,which as default scheduler. It neither consider internal solt transmission delay time, nor consider transmission delay between nodes, but does not consider the task of local characteristics. The first two issues has already been resolved, this paper focuses on local characteristics and solve the task. Experimental results show that optimized of scheduling strategy optimize the default Scheduling policy in the comprehensive aspects.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.517How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xinli Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Adaptive Scheduling Based CPU/IO in Storm
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.517
DO  - https://doi.org/10.2991/icmmcce-15.2015.517
ID  - Zhang2015/12
ER  -