GRAMS: Grid Resource Analysis and Monitoring System

Hongning Dai; Minglu Li; Linpeng Huang; Yi Wang; Feng Hong

doi:10.1007/11428862_128

GRAMS: Grid Resource Analysis and Monitoring System

Hongning Dai, Minglu Li, Linpeng Huang, Yi Wang, Feng Hong

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

In this paper we propose GRAMS, a resource monitoring and analysis system in Grid environment. GRAMS provides an infrastructure for conducting online monitoring and performance analysis of a variety of Grid resources including computational and network devices. Based on analysis on real-time event data as well as historical performance data, steering strategies are given for users or resource scheduler to control the resources. Besides, GRAMS also provides a set of management tools and services portals for user not only to access performance data but also to handle these resources.

Original language	English
Title of host publication	Computational Science -- ICCS 2005
Subtitle of host publication	5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III
Editors	Vaidy S. Sunderam, Geert Dick Albada, Peter M. A. Sloot, Jack Dongarra
Publisher	Springer Berlin Heidelberg
Pages	875-878
Number of pages	4
Volume	3516
Edition	III
ISBN (Electronic)	9783540321187
ISBN (Print)	9783540260448
DOIs	https://doi.org/10.1007/11428862_128
Publication status	Published - 4 May 2005
Event	5th International Conference on Computational Science, ICCS 2005: Advancing Science through Computation - Emory University, Atlanta, United States Duration: 22 May 2005 → 25 May 2005 https://www.iccs-meeting.org/iccs2005/index.php (Link to conference website)

Publication series

Name	Lecture Notes in Computer Science, LNCS
Publisher	Springer
Volume	3516
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Computational Science, ICCS 2005
Country/Territory	United States
City	Atlanta
Period	22/05/05 → 25/05/05
Internet address	https://www.iccs-meeting.org/iccs2005/index.php (Link to conference website)

Scopus Subject Areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/11428862_128

Cite this

Dai, H., Li, M., Huang, L., Wang, Y., & Hong, F. (2005). GRAMS: Grid Resource Analysis and Monitoring System. In V. S. Sunderam, G. D. Albada, P. M. A. Sloot, & J. Dongarra (Eds.), Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III (III ed., Vol. 3516, pp. 875-878). (Lecture Notes in Computer Science, LNCS; Vol. 3516). Springer Berlin Heidelberg. https://doi.org/10.1007/11428862_128

Dai, Hongning ; Li, Minglu ; Huang, Linpeng et al. / GRAMS : Grid Resource Analysis and Monitoring System. Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III. editor / Vaidy S. Sunderam ; Geert Dick Albada ; Peter M. A. Sloot ; Jack Dongarra. Vol. 3516 III. ed. Springer Berlin Heidelberg, 2005. pp. 875-878 (Lecture Notes in Computer Science, LNCS).

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title = "GRAMS: Grid Resource Analysis and Monitoring System",

abstract = "In this paper we propose GRAMS, a resource monitoring and analysis system in Grid environment. GRAMS provides an infrastructure for conducting online monitoring and performance analysis of a variety of Grid resources including computational and network devices. Based on analysis on real-time event data as well as historical performance data, steering strategies are given for users or resource scheduler to control the resources. Besides, GRAMS also provides a set of management tools and services portals for user not only to access performance data but also to handle these resources.",

author = "Hongning Dai and Minglu Li and Linpeng Huang and Yi Wang and Feng Hong",

note = "Funding information: Supported by the National Grand Fundamental Research 973 Program of China under Grant No.2002CB312002, the Grand Project (No.03dz15027) and Key Project (No.025115033) of the Science and Technology Commission of Shanghai Municipality. Publisher copyright: {\textcopyright} 2005 Springer-Verlag Berlin Heidelberg; 5th International Conference on Computational Science, ICCS 2005 : Advancing Science through Computation ; Conference date: 22-05-2005 Through 25-05-2005",

year = "2005",

month = may,

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doi = "10.1007/11428862_128",

language = "English",

isbn = "9783540260448",

volume = "3516",

series = "Lecture Notes in Computer Science, LNCS",

publisher = "Springer Berlin Heidelberg",

pages = "875--878",

editor = "Sunderam, {Vaidy S.} and Albada, {Geert Dick} and Sloot, {Peter M. A.} and Jack Dongarra",

booktitle = "Computational Science -- ICCS 2005",

edition = "III",

url = "https://www.iccs-meeting.org/iccs2005/index.php",

}

Dai, H, Li, M, Huang, L, Wang, Y & Hong, F 2005, GRAMS: Grid Resource Analysis and Monitoring System. in VS Sunderam, GD Albada, PMA Sloot & J Dongarra (eds), Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III. III edn, vol. 3516, Lecture Notes in Computer Science, LNCS, vol. 3516, Springer Berlin Heidelberg, pp. 875-878, 5th International Conference on Computational Science, ICCS 2005, Atlanta, Georgia, United States, 22/05/05. https://doi.org/10.1007/11428862_128

GRAMS: Grid Resource Analysis and Monitoring System. / Dai, Hongning; Li, Minglu; Huang, Linpeng et al.
Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III. ed. / Vaidy S. Sunderam; Geert Dick Albada; Peter M. A. Sloot; Jack Dongarra. Vol. 3516 III. ed. Springer Berlin Heidelberg, 2005. p. 875-878 (Lecture Notes in Computer Science, LNCS; Vol. 3516).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Dai, Hongning

AU - Li, Minglu

AU - Huang, Linpeng

AU - Wang, Yi

AU - Hong, Feng

N1 - Funding information: Supported by the National Grand Fundamental Research 973 Program of China under Grant No.2002CB312002, the Grand Project (No.03dz15027) and Key Project (No.025115033) of the Science and Technology Commission of Shanghai Municipality. Publisher copyright: © 2005 Springer-Verlag Berlin Heidelberg

PY - 2005/5/4

Y1 - 2005/5/4

N2 - In this paper we propose GRAMS, a resource monitoring and analysis system in Grid environment. GRAMS provides an infrastructure for conducting online monitoring and performance analysis of a variety of Grid resources including computational and network devices. Based on analysis on real-time event data as well as historical performance data, steering strategies are given for users or resource scheduler to control the resources. Besides, GRAMS also provides a set of management tools and services portals for user not only to access performance data but also to handle these resources.

AB - In this paper we propose GRAMS, a resource monitoring and analysis system in Grid environment. GRAMS provides an infrastructure for conducting online monitoring and performance analysis of a variety of Grid resources including computational and network devices. Based on analysis on real-time event data as well as historical performance data, steering strategies are given for users or resource scheduler to control the resources. Besides, GRAMS also provides a set of management tools and services portals for user not only to access performance data but also to handle these resources.

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Dai H, Li M, Huang L, Wang Y, Hong F. GRAMS: Grid Resource Analysis and Monitoring System. In Sunderam VS, Albada GD, Sloot PMA, Dongarra J, editors, Computational Science -- ICCS 2005: 5th International Conference, Atlanta, GA, USA, May 22-25, 2005, Proceedings, Part III. III ed. Vol. 3516. Springer Berlin Heidelberg. 2005. p. 875-878. (Lecture Notes in Computer Science, LNCS). doi: 10.1007/11428862_128

GRAMS: Grid Resource Analysis and Monitoring System

Abstract

Publication series

Conference

Scopus Subject Areas

UN SDGs

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