Simulation Analysis for intelligent scheduling model of large tasks

DOI

10.2991/amcce-15.2015.230How to use a DOI?

Keywords

time-sharing task load; workload; scheduling;

Abstract

The reasonable scheduling of tasks can maximize the conservation of resources, improve the utilization rate of work resources. The current task scheduling regards task conflict have already occurred as the prerequisite, and passive coping strategy is adopted, the model is built based on the prerequisite of existing conflict, The model only consider mobility and instability conditions between tasks in the conflicting state, without fully considering conflict probability factors of different time task conflicts before conflicting happens, a passive scheduling way is utilized to solve the problem, the defect is apparent. The complex workflow scheduling method based on time-sharing task load distribution statistics prediction is put forward. The data related to task load in different period is collected for validity evaluation and prediction, and then determine task form, load and time interval need to be dispatched, in considering the time factor, the work task scheduling is completed to optimize scheduling model. The experimental results show that, by using the optimization algorithm for tasks scheduling, can greatly save the cost, improve work efficiency.

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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TY  - CONF
AU  - LiXin Wang
AU  - Wei Jing Wang
PY  - 2015/04
DA  - 2015/04
TI  - Simulation Analysis for intelligent scheduling model of large tasks
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.230
DO  - 10.2991/amcce-15.2015.230
ID  - Wang2015/04
ER  -