Healthcare4VideoStorm: Making Smart Decisions Based on Storm Metrics

Sensors

Qinghua Lu¹  Pengcheng Duan¹  Weishan Zhang¹  Xiufeng Chen² 

[1] Department of Software Engineering, China University of Petroleum, No. 66 Changjiang West Road, Qingdao 266031, China;Hisense TransTech Co., Ltd., No. 16 Shandong Road, Qingdao 266031, China;

关键词: storm metrics;    CPU-GPU;    scheduling;    optimization;   

DOI  :  10.3390/s16040588

来源: DOAJ

【 摘 要 】

Storm-based stream processing is widely used for real-time large-scale distributed processing. Knowing the run-time status and ensuring performance is critical to providing expected dependability for some applications, e.g., continuous video processing for security surveillance. The existing scheduling strategies’ granularity is too coarse to have good performance, and mainly considers network resources without computing resources while scheduling. In this paper, we propose Healthcare4Storm, a framework that finds Storm insights based on Storm metrics to gain knowledge from the health status of an application, finally ending up with smart scheduling decisions. It takes into account both network and computing resources and conducts scheduling at a fine-grained level using tuples instead of topologies. The comprehensive evaluation shows that the proposed framework has good performance and can improve the dependability of the Storm-based applications.

【 授权许可】

Unknown