Optimization of Task Scheduling Algorithms in Heterogeneous Environment

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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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  -