Zhixian Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Zhixian Li has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Chuanfeng Li
School of Computer Science and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
1 shared publication - Guozeng Zhao
School of Computer Science and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
1 shared publication - Lili Wei
School of Computer Science and Information Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
1 shared publication - Zeyu Sun
Luoyang Institute of Science and Technology
1 shared publication - Zhiyu Min
School of Materials Science and Engineering, Luoyang Institute of Science and Technology, Luoyang 471023, China
1 shared publication
Latest Publications
- Open Access
Intelligent Sensor-Cloud in Fog Computer: A Novel Hierarchical Data Job Scheduling Strategy
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.
Open AccessIntelligent Sensor-Cloud in Fog Computer: A Novel Hierarchical Data Job Scheduling Strategy
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.