Light-weight application monitoring and tuning with embedded gossip

Authors:
Wenbin Zhu;Patrick G. Bridges;Arthur B. Maccabe
Affiliations:
University of New Mexico;University of New Mexico;University of New Mexico
Venue:
ACM SIGMETRICS Performance Evaluation Review
Year:
2007

Citing 2
Cited 0

IMPuLSE: integrated monitoring and profiling for large-scale environments

LCR '04 Proceedings of the 7th workshop on Workshop on languages, compilers, and run-time support for scalable systems
Embedded Gossip: Lightweight Online Measurement for Large-Scale Applications

ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

For large-scale, long-running applications, monitoring can be expensive. While traditional trace-based monitoring provides detailed information about an application, it is expensive to record and gather the traced performance data. Processing the voluminous traced data is so demanding that information about the monitored application is only available post-mortem.