Dynamic Task Scheduling Scheme for Processing Real-Time Stream Data in Storm Environments

Applied Sciences

Jongtae Lim¹  Dojin Choi¹  Hyeonwook Jeon¹  Jaesoo Yoo¹  Kyoungsoo Bok² 

[1] Department of Information and Communication Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju 28644, Korea;Department of SW Convergence Technology, Wonkwang University, Iksandae 460, Iksan 54538, Korea;

关键词: dynamic task scheduling;    stream processing;    Storm;    deadline;    load balancing;   

DOI  :  10.3390/app11177942

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown