Behavioural skeletons in GCM: autonomic management of grid components

Marco Aldinucci; Sonia Campa; Marco Danelutto; Marco Vanneschi; Peter Kilpatrick; Patrizio Dazzi; Domenico Laforenza; Nicola Tonellotto

doi:10.1109/PDP.2008.46

Behavioural skeletons in GCM: autonomic management of grid components

Marco Aldinucci, Sonia Campa, Marco Danelutto, Marco Vanneschi, Peter Kilpatrick, Patrizio Dazzi, Domenico Laforenza, Nicola Tonellotto

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

48 Citations (Scopus)

Abstract

Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying on programmer ability to design “from scratch” efficient autonomic policies, we encapsulate general autonomic controller features into algorithmic skeletons. Then we leave to the programmer the duty of specifying the parameters needed to specialise the skeletons to the needs of the particular application at hand. This results in the programmer having the ability to fast prototype and tune distributed/parallel applications with non-trivial autonomic management capabilities. We discuss how behavioural skeletons have been implemented in the framework of GCM(the Grid ComponentModel developed within the CoreGRID NoE and currently being implemented within the GridCOMP STREP project). We present results evaluating the overhead introduced by autonomic management activities as well as the overall behaviour of the skeletons. We also present results achieved with a long running application subject to autonomic management and dynamically adapting to changing features of the target architecture.
Overall the results demonstrate both the feasibility of implementing autonomic control via behavioural skeletons and the effectiveness of our sample behavioural skeletons in managing the “functional replication” pattern(s).

Original language	English
Title of host publication	Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-63
Number of pages	10
ISBN (Print)	978-0-7695-3089-5
DOIs	https://doi.org/10.1109/PDP.2008.46
Publication status	Published - Feb 2008
Event	16th Euromicro International Conference on Parallel, Distributed and Network-Based Processing - Toulouse, France Duration: 13 Feb 2008 → 15 Feb 2008

Conference

Conference	16th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
Country/Territory	France
City	Toulouse
Period	13/02/2008 → 15/02/2008

ASJC Scopus subject areas

General Computer Science
Computer Networks and Communications

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10.1109/PDP.2008.46

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Aldinucci, M., Campa, S., Danelutto, M., Vanneschi, M., Kilpatrick, P., Dazzi, P., Laforenza, D., & Tonellotto, N. (2008). Behavioural skeletons in GCM: autonomic management of grid components. In Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008 (pp. 54-63). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PDP.2008.46

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title = "Behavioural skeletons in GCM: autonomic management of grid components",

abstract = "Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying on programmer ability to design “from scratch” efficient autonomic policies, we encapsulate general autonomic controller features into algorithmic skeletons. Then we leave to the programmer the duty of specifying the parameters needed to specialise the skeletons to the needs of the particular application at hand. This results in the programmer having the ability to fast prototype and tune distributed/parallel applications with non-trivial autonomic management capabilities. We discuss how behavioural skeletons have been implemented in the framework of GCM(the Grid ComponentModel developed within the CoreGRID NoE and currently being implemented within the GridCOMP STREP project). We present results evaluating the overhead introduced by autonomic management activities as well as the overall behaviour of the skeletons. We also present results achieved with a long running application subject to autonomic management and dynamically adapting to changing features of the target architecture. Overall the results demonstrate both the feasibility of implementing autonomic control via behavioural skeletons and the effectiveness of our sample behavioural skeletons in managing the “functional replication” pattern(s).",

author = "Marco Aldinucci and Sonia Campa and Marco Danelutto and Marco Vanneschi and Peter Kilpatrick and Patrizio Dazzi and Domenico Laforenza and Nicola Tonellotto",

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booktitle = "Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008",

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note = "16th Euromicro International Conference on Parallel, Distributed and Network-Based Processing ; Conference date: 13-02-2008 Through 15-02-2008",

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Aldinucci, M, Campa, S, Danelutto, M, Vanneschi, M, Kilpatrick, P, Dazzi, P, Laforenza, D & Tonellotto, N 2008, Behavioural skeletons in GCM: autonomic management of grid components. in Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008. Institute of Electrical and Electronics Engineers Inc., pp. 54-63, 16th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Toulouse, France, 13/02/2008. https://doi.org/10.1109/PDP.2008.46

Behavioural skeletons in GCM: autonomic management of grid components. / Aldinucci, Marco; Campa, Sonia; Danelutto, Marco et al.
Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008. Institute of Electrical and Electronics Engineers Inc., 2008. p. 54-63.

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

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AU - Aldinucci, Marco

AU - Campa, Sonia

AU - Danelutto, Marco

AU - Vanneschi, Marco

AU - Kilpatrick, Peter

AU - Dazzi, Patrizio

AU - Laforenza, Domenico

AU - Tonellotto, Nicola

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AB - Autonomic management can be used to improve the QoS provided by parallel/distributed applications. We discuss behavioural skeletons introduced in earlier work: rather than relying on programmer ability to design “from scratch” efficient autonomic policies, we encapsulate general autonomic controller features into algorithmic skeletons. Then we leave to the programmer the duty of specifying the parameters needed to specialise the skeletons to the needs of the particular application at hand. This results in the programmer having the ability to fast prototype and tune distributed/parallel applications with non-trivial autonomic management capabilities. We discuss how behavioural skeletons have been implemented in the framework of GCM(the Grid ComponentModel developed within the CoreGRID NoE and currently being implemented within the GridCOMP STREP project). We present results evaluating the overhead introduced by autonomic management activities as well as the overall behaviour of the skeletons. We also present results achieved with a long running application subject to autonomic management and dynamically adapting to changing features of the target architecture. Overall the results demonstrate both the feasibility of implementing autonomic control via behavioural skeletons and the effectiveness of our sample behavioural skeletons in managing the “functional replication” pattern(s).

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BT - Proceedings of the 16th Euromicro Conference on Parallel, Distributed, and Network-Based Processing: February 13-15, 2008

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 13 February 2008 through 15 February 2008

ER -

Behavioural skeletons in GCM: autonomic management of grid components

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