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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
License: CC BY NC ND
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Dependency Management in Software Component Deployment

Authors: Fabien Dagnat; Meriem Belguidoum;

Dependency Management in Software Component Deployment

Abstract

AbstractComponent-based distributed systems are hard to deploy for two main reasons: the complexity of their structure and the complexity of the deployment tasks. Current tools do not manage these complexities properly because the descriptions that they allow lack of expressiveness. The absence of proper descriptions of system and component requirements makes it impossible to ensure safe installation and deinstallation. The goal of this paper is to present a formalization of deployment dependencies. These dependencies expressed in a logical language are associated with a deployment engine that allows installation and deinstallation of components in a system to be proved.

Keywords

Deployment dependencies, Safe deployment, Component deployment, Theoretical Computer Science, Computer Science(all)

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    33
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
gold