A framework for constraint-based deployment and autonomic management of distributed applications (extended abstract)

Alan Dearle; Graham Kirby; Andrew McCarthy

doi:10.1109/ICAC.2004.3

A framework for constraint-based deployment and autonomic management of distributed applications (extended abstract)

Alan Dearle, Graham Kirby, Andrew McCarthy

School of Computer Science

Research output: Contribution to conference › Poster › peer-review

Abstract

We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such as component-host mappings and component interconnection topology. A constraint solver is used to find a configuration that satisfies the goal, and the configuration is deployed automatically. The deployed application is instrumented to allow subsequent autonomic management. If, during execution, the manager detects that the original goal is no longer being met, the satisfy/deploy process can be repeated automatically in order to generate a revised deployment that does meet the goal.

Original language	English
Pages	300-301
Number of pages	2
DOIs	https://doi.org/10.1109/ICAC.2004.3
Publication status	Published - May 2004
Event	1st IEEE Computer Society International Conference on Autonomic Computing (ICAC'04) - New York, United States Duration: 12 Jun 2004 → …

Conference

Conference	1st IEEE Computer Society International Conference on Autonomic Computing (ICAC'04)
Country/Territory	United States
City	New York
Period	12/06/04 → …

Keywords

cs.DC
Distributed, parallel, and cluster computing

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10.1109/ICAC.2004.3

Open Access version in Research@St Andrews:FullTextSubmitted manuscript, 134 KB

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title = "A framework for constraint-based deployment and autonomic management of distributed applications (extended abstract)",

abstract = "We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such as component-host mappings and component interconnection topology. A constraint solver is used to find a configuration that satisfies the goal, and the configuration is deployed automatically. The deployed application is instrumented to allow subsequent autonomic management. If, during execution, the manager detects that the original goal is no longer being met, the satisfy/deploy process can be repeated automatically in order to generate a revised deployment that does meet the goal.",

keywords = "cs.DC, Distributed, parallel, and cluster computing",

author = "Alan Dearle and Graham Kirby and Andrew McCarthy",

note = "This work is supported by EPSRC Grants GR/M78403, GR/R51872, GR/S44501 and by EC Framework V IST-2001-32360; 1st IEEE Computer Society International Conference on Autonomic Computing (ICAC'04) ; Conference date: 12-06-2004",

year = "2004",

month = may,

doi = "10.1109/ICAC.2004.3",

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A framework for constraint-based deployment and autonomic management of distributed applications (extended abstract). / Dearle, Alan ; Kirby, Graham; McCarthy, Andrew.
2004. 300-301 Poster session presented at 1st IEEE Computer Society International Conference on Autonomic Computing (ICAC'04), New York, United States.

Research output: Contribution to conference › Poster › peer-review

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AU - Kirby, Graham

AU - McCarthy, Andrew

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AB - We propose a framework for the deployment and subsequent autonomic management of component-based distributed applications. An initial deployment goal is specified using a declarative constraint language, expressing constraints over aspects such as component-host mappings and component interconnection topology. A constraint solver is used to find a configuration that satisfies the goal, and the configuration is deployed automatically. The deployed application is instrumented to allow subsequent autonomic management. If, during execution, the manager detects that the original goal is no longer being met, the satisfy/deploy process can be repeated automatically in order to generate a revised deployment that does meet the goal.

KW - cs.DC

KW - Distributed, parallel, and cluster computing

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DO - 10.1109/ICAC.2004.3

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T2 - 1st IEEE Computer Society International Conference on Autonomic Computing (ICAC'04)

Y2 - 12 June 2004

ER -

A framework for constraint-based deployment and autonomic management of distributed applications (extended abstract)

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A framework for constraint-based deployment and autonomic management of distributed applications

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