Network resource scheduling algorithm for cloud data center

In order to reduce the query load of nodes and improve the processing efficiency of network system, this paper proposes a network resource scheduling algorithm for cloud data center. According to different information sources, the confidence interval index of resource scheduling is obtained, and the prior distribution of resources is obtained according to the splitting history of network resource data nodes, and the network resource characteristics of cloud-side data center are extracted through link distance; Accurately encode the data of various resource states, task requirements and scheduling strategies, analyze the source code states, conversion processes and programming representations, and realize the network resource data encoding of the cloud data center; Linear decreasing is carried out, and the network resource scheduling structure of cloud data center is established to realize the research of resource scheduling algorithm. The experimental results show that the load balance coefficient achieved by this algorithm is stable above 0.9, which ensures that it can still maintain an efficient and stable running state under high load, with high occupancy rate of each index and good scheduling effect.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1117/12.3050089
Primary Topic
Cloud Computing and Resource Management
Type
article
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Network resource scheduling algorithm for cloud data center

Weiguo Ju, Fan Li, Shu Zhang, Huanhuan Gu
Cloud Computing and Resource Management
article

Network resource scheduling algorithm for cloud data center

Weiguo Ju, Fan Li, Shu Zhang, Huanhuan Gu
article en

Abstract

In order to reduce the query load of nodes and improve the processing efficiency of network system, this paper proposes a network resource scheduling algorithm for cloud data center. According to different information sources, the confidence interval index of resource scheduling is obtained, and the prior distribution of resources is obtained according to the splitting history of network resource data nodes, and the network resource characteristics of cloud-side data center are extracted through link distance; Accurately encode the data of various resource states, task requirements and scheduling strategies, analyze the source code states, conversion processes and programming representations, and realize the network resource data encoding of the cloud data center; Linear decreasing is carried out, and the network resource scheduling structure of cloud data center is established to realize the research of resource scheduling algorithm. The experimental results show that the load balance coefficient achieved by this algorithm is stable above 0.9, which ensures that it can still maintain an efficient and stable running state under high load, with high occupancy rate of each index and good scheduling effect.

Openalex Percentile: Top 69%
Cloud Computing and Resource Management
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