The lightweight distributed metric service a scalable infrastructure for continuous monitoring of large scale computing systems and applications

Understanding how resources of High Performance Compute platforms are utilized by applications both individually and as a composite is key to application and platform performance. Typical system monitoring tools do not provide sufficient fidelity while application profiling tools do not capture the...

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Bibliographic Details
Published in:	Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis pp. 154 - 165
Main Authors:	Agelastos, Anthony, Allan, Benjamin, Brandt, Jim, Cassella, Paul, Enos, Jeremy, Fullop, Joshi, Gentile, Ann, Monk, Steve, Naksinehaboon, Nichamon, Ogden, Jeff, Rajan, Mahesh, Showerman, Michael, Stevenson, Joel, Taerat, Narate, Tucker, Tom
Format:	Conference Proceeding
Language:	English
Published:	Piscataway, NJ, USA IEEE Press 16.11.2014 IEEE
Series:	ACM Conferences
Subjects:	Bandwidth General and reference > Cross-computing tools and techniques > Measurement General and reference > Cross-computing tools and techniques > Metrics General and reference > Cross-computing tools and techniques > Performance Instruction sets Measurement Memory management Monitoring Networks > Network services > Network monitoring Resource management resource monitoring Sockets resource management monitoring resource monitoring
ISBN:	1479955000, 9781479955008
ISSN:	2167-4329
Online Access:	Get full text
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