Cluster resource adjustment based on an improved artificial fish swarm algorithm in Mesos

被引：0
|
作者：
Li, Ying [1 ]
Zhang, Jing [2 ]
Zhang, Wei [3 ]
Liu, Qing [1 ]
机构：
[1] Xian Univ Technol, Sch Automat & Elect Informat, Xian, Shaanxi, Peoples R China
[2] Xian Univ Technol, Sch Comp Sci & Engn, Xian, Shaanxi, Peoples R China
[3] Bei Jing SkyCloud Software Co Ltd, Res & Dev Dept, Xian, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) | 2016年
基金：
中国国家自然科学基金;
关键词：
Mesos; DRF algorithm; Double-layer scheduling framework; Parallel artificial fish swarm algorithm; Resources adjustment;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
At present, research of Mesos is in the early stage. Because of the two-level hierarchical scheduling, Mesos doesn't take the whole cluster into consideration in resource scheduling, which could cause load imbalance and low resource utilization. To solve above-mentioned problem, this paper proposed a resource adjustment plan based on an improved artificial fish swarm algorithm, it adopts a new behavior strategy. The users can adjust the mapping between salves and containers to improve cluster performance indexes without affecting the tasks' execution. The test results show the proposed resource adjustment achieved significantly increased load-balancing and resource utilization.
引用
收藏
页码：1843 / 1847
页数：5
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