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Open AccessArticle

Intelligent Sensor-Cloud in Fog Computer: A Novel Hierarchical Data Job Scheduling Strategy

1
School of Computer Science and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
2
Key Laboratory of Intelligent IoT, Luoyang Institute of Science and Technology, Luoyang 471023, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(23), 5083; https://doi.org/10.3390/s19235083
Received: 6 November 2019 / Revised: 18 November 2019 / Accepted: 19 November 2019 / Published: 21 November 2019
(This article belongs to the Special Issue Fog/Edge Computing based Smart Sensing System)
In the Fog Computer (FC), the process of data is prone to problems such as low data similarity and poor data tolerance. This paper proposes a hierarchical data job scheduling strategy Based on Intelligent Sensor-Cloud in Fog Computer (HDJS). HDJS dynamically adjusts the priority of the job to avoid job starvation and maximize the use of resources, uses the key frame to the resource occupied information, distributes the frame sequence to the unit, and then combines the intra frame distribution strategy to balance the load between the nodes. The experimental results show our proposed strategy may be possible to avoid the operation of hunger and resource fragmentation problems, make full use of the advantages of multi-core and multi-thread, improve system resource utilization, and shorten the execution time and response time. View Full-Text
Keywords: wireless sensor networks; job scheduling; sensor cloud; scheduling strategy wireless sensor networks; job scheduling; sensor cloud; scheduling strategy
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MDPI and ACS Style

Sun, Z.; Li, C.; Wei, L.; Li, Z.; Min, Z.; Zhao, G. Intelligent Sensor-Cloud in Fog Computer: A Novel Hierarchical Data Job Scheduling Strategy. Sensors 2019, 19, 5083.

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