Dproc - Extensible run-time resource monitoring for cluster applications

Jasmina Jancic; Christian Poellabauer; Karsten Schwan; Matthew Wolf; Neil Bright

doi:10.1007/3-540-46080-2_94

Dproc - Extensible run-time resource monitoring for cluster applications

Jasmina Jancic, Christian Poellabauer, Karsten Schwan, Matthew Wolf, Neil Bright

Georgia Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

In this paper we describe the dproc (distributed /proc) kernellevel mechanisms and abstractions, which provide the building blocks for implementation of efficient, cluster-wide, and application-specific performance monitoring. Such monitoring functionality may be constructed at any time, both before and during application invocation, and can include dynamic run-time extensions. This paper (i) presents dproc's implementation in a Linux-based cluster of SMP-machines, and (ii) evaluates its utility by construction of sample monitoring functionality. Full version of this paper can be found at: http://www.cc.gatech.edu/systems/projects/dproc/.

Original language	English
Title of host publication	Computational Science, ICCS 2002 - International Conference, Proceedings
Publisher	Springer Verlag
Pages	894-903
Number of pages	10
Edition	PART 2
ISBN (Print)	354043593X, 9783540435938
DOIs	https://doi.org/10.1007/3-540-46080-2_94
State	Published - 2002
Externally published	Yes
Event	International Conference on Computational Science, ICCS 2002 - Amsterdam, Netherlands Duration: Apr 21 2002 → Apr 24 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	2330 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Science, ICCS 2002
Country/Territory	Netherlands
City	Amsterdam
Period	04/21/02 → 04/24/02

Access to Document

10.1007/3-540-46080-2_94

Cite this

Jancic, J., Poellabauer, C., Schwan, K., Wolf, M., & Bright, N. (2002). Dproc - Extensible run-time resource monitoring for cluster applications. In Computational Science, ICCS 2002 - International Conference, Proceedings (PART 2 ed., pp. 894-903). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2330 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/3-540-46080-2_94

Jancic, Jasmina ; Poellabauer, Christian ; Schwan, Karsten et al. / Dproc - Extensible run-time resource monitoring for cluster applications. Computational Science, ICCS 2002 - International Conference, Proceedings. PART 2. ed. Springer Verlag, 2002. pp. 894-903 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Dproc - Extensible run-time resource monitoring for cluster applications",

abstract = "In this paper we describe the dproc (distributed /proc) kernellevel mechanisms and abstractions, which provide the building blocks for implementation of efficient, cluster-wide, and application-specific performance monitoring. Such monitoring functionality may be constructed at any time, both before and during application invocation, and can include dynamic run-time extensions. This paper (i) presents dproc's implementation in a Linux-based cluster of SMP-machines, and (ii) evaluates its utility by construction of sample monitoring functionality. Full version of this paper can be found at: http://www.cc.gatech.edu/systems/projects/dproc/.",

author = "Jasmina Jancic and Christian Poellabauer and Karsten Schwan and Matthew Wolf and Neil Bright",

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doi = "10.1007/3-540-46080-2\_94",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Computational Science, ICCS 2002 - International Conference, Proceedings",

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Jancic, J, Poellabauer, C, Schwan, K, Wolf, M & Bright, N 2002, Dproc - Extensible run-time resource monitoring for cluster applications. in Computational Science, ICCS 2002 - International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 2330 LNCS, Springer Verlag, pp. 894-903, International Conference on Computational Science, ICCS 2002, Amsterdam, Netherlands, 04/21/02. https://doi.org/10.1007/3-540-46080-2_94

Dproc - Extensible run-time resource monitoring for cluster applications. / Jancic, Jasmina; Poellabauer, Christian; Schwan, Karsten et al.
Computational Science, ICCS 2002 - International Conference, Proceedings. PART 2. ed. Springer Verlag, 2002. p. 894-903 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2330 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Schwan, Karsten

AU - Wolf, Matthew

AU - Bright, Neil

PY - 2002

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AB - In this paper we describe the dproc (distributed /proc) kernellevel mechanisms and abstractions, which provide the building blocks for implementation of efficient, cluster-wide, and application-specific performance monitoring. Such monitoring functionality may be constructed at any time, both before and during application invocation, and can include dynamic run-time extensions. This paper (i) presents dproc's implementation in a Linux-based cluster of SMP-machines, and (ii) evaluates its utility by construction of sample monitoring functionality. Full version of this paper can be found at: http://www.cc.gatech.edu/systems/projects/dproc/.

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DO - 10.1007/3-540-46080-2_94

M3 - Conference contribution

AN - SCOPUS:84886838480

SN - 354043593X

SN - 9783540435938

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Jancic J, Poellabauer C, Schwan K, Wolf M, Bright N. Dproc - Extensible run-time resource monitoring for cluster applications. In Computational Science, ICCS 2002 - International Conference, Proceedings. PART 2 ed. Springer Verlag. 2002. p. 894-903. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/3-540-46080-2_94

Dproc - Extensible run-time resource monitoring for cluster applications

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