A DAG task scheduling scheme on heterogeneous cluster systems using discrete IWO algorithm

2018 ◽  
Vol 26 ◽  
pp. 307-317 ◽  
Author(s):  
Siyang Yu ◽  
Kenli Li ◽  
Yuming Xu
2021 ◽  
Vol 11 (17) ◽  
pp. 7942
Author(s):  
Dojin Choi ◽  
Hyeonwook Jeon ◽  
Jongtae Lim ◽  
Kyoungsoo Bok ◽  
Jaesoo Yoo

Owing to the recent advancements in Internet of Things technology, social media, and mobile devices, real-time stream balancing processing systems are commonly used to process vast amounts of data generated in various media. In this paper, we propose a dynamic task scheduling scheme considering task deadlines and node resources. The proposed scheme performs dynamic scheduling using a heterogeneous cluster consisting of various nodes with different performances. Additionally, the loads of the nodes considering the task deadlines are balanced by different task scheduling based on three defined load types. Based on diverse performance evaluations it is shown that the proposed scheme outperforms the conventional schemes.


2018 ◽  
Vol 23 (21) ◽  
pp. 11035-11054 ◽  
Author(s):  
Zhao Tong ◽  
Hongjian Chen ◽  
Xiaomei Deng ◽  
Kenli Li ◽  
Keqin Li

2019 ◽  
Vol 2019 (19) ◽  
pp. 5864-5867
Author(s):  
Ling Huang ◽  
Yu Zhang ◽  
Qingyu Li ◽  
Changyong Pan ◽  
Jian Song

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