LIMITLESS - LIght-weight MonItoring Tool for LargE Scale Systems

被引:4
|
作者
Cascajo, Alberto [1 ]
Singh, David E. [1 ]
Carretero, Jesus [1 ]
机构
[1] Univ Carlos III Madrid, Madrid, Spain
基金
欧盟地平线“2020”;
关键词
Monitoring; application modelling; performance prediction; PERFORMANCE;
D O I
10.1109/PDP52278.2021.00042
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work presents LIMITLESS, a HPC framework that provides new strategies for monitoring clusters. LIMITLESS is a scalable light-weight monitor that is integrated with other HPC runtimes in order to obtain an holistic view of the system that combines both platform and application monitoring. This paper presents a description of the novel components of the architecture, including new approaches for reaching a higher scalability based on a combination of in-transit processing and performance prediction. This work also includes a practical evaluation on simulated and real platforms, that shows significant monitoring scalability, retrieving data capacity and reduced overheads.
引用
收藏
页码:220 / 227
页数:8
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