Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Optimization of Task Scheduling Algorithms in Heterogeneous Environment

Authors
Hailan Pan
Corresponding Author
Hailan Pan
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.35How to use a DOI?
Keywords
cloud workflow; heterogeneous; scheduling algorithm; HDFS; MapReduce
Abstract

Workflow system is the best choice for projects with complex business logic, and cloud workflow technology has emerged because many applications need to join large data processing. This paper first introduces the workflow and MapReduce technology briefly, and then proposes to use agent mode to solve the engine centralization problem of traditional cloud workflow architecture. Finally, this paper describes the workflow scheduling model and algorithm based on MapReduce, which makes full use of time fragmentation by using task segmentation to improve efficiency.

Copyright
© 2017, 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 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
978-94-6252-307-4
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.35How to use a DOI?
Copyright
© 2017, 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  - Hailan Pan
PY  - 2017/03
DA  - 2017/03
TI  - Optimization of Task Scheduling Algorithms in Heterogeneous Environment
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 219
EP  - 223
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.35
DO  - 10.2991/ifmca-16.2017.35
ID  - Pan2017/03
ER  -