LGDCloudSim: A resource management simulation system for large-scale geographically distributed cloud data center scenarios

被引:0
|
作者
Liu, Jiawen [1 ]
Xu, Yuehao [1 ]
Feng, Binbin [1 ]
Ding, Zhijun [1 ,2 ]
机构
[1] Tongji Univ, Dept Comp Sci & Technol, Shanghai, Peoples R China
[2] Shanghai Artificial Intelligence Lab, Shanghai, Peoples R China
来源
2024 IEEE 17TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, CLOUD 2024 | 2024年
基金
中国国家自然科学基金;
关键词
large-scale cloud; geographically distributed data centers; cloud simulation system; resource management; scheduling architecture; ALLOCATION; ALGORITHMS;
D O I
10.1109/CLOUD62652.2024.00031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current IaaS providers have deployed data centers worldwide, with resources continually increasing. Meanwhile, there is a rising trend in the concurrency of user requests and the diversity of user request types. To achieve better resource allocation, various complex scheduling architectures have been proposed. However, due to the challenges associated with real-world experiments, simulation systems are needed to build experimental environments for related research. As existing systems do not perform well enough, we construct LGDCloudSim. It is designed with full consideration of the characteristics of the largescale geographically distributed cloud data center scenarios. To support large-scale simulations, we propose state management optimization and operation process optimization methods. Experiments show that LGDCloudSim can simulate up to 5x10(8) hosts and 107 request concurrency. It also supports diverse scheduling architectures and different request types.
引用
收藏
页码:194 / 204
页数:11
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