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https://doi.org/10.1109/aswec....
Article . 2007 . Peer-reviewed
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Influence Control for Dynamic Reconfiguration

Authors: Zhikun Zhao; Wei Li 0005;

Influence Control for Dynamic Reconfiguration

Abstract

Dynamic reconfiguration is a useful technique for software update because it can achieve an architectural change without shutdown of a system. However, so far in the state-of arts, there has not been an approach that can evaluate and control both the functional influence and performance influence of reconfiguration in a unified framework. In this paper, we present an approach that addresses the above drawback. In our approach, we use a reconfiguration algorithm and a reconfiguration scheduler to control these two types of influence. The algorithm reduces the logical performance influence by allowing old and new components coexisting and uses a version management mechanism to avoid functional side effect in the coexisting period. The scheduler controls the physical performance influence through restricting the processor time spent on the reconfiguration procedure. We implement the algorithm and the scheduler in our reconfiguration data flow model.

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    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).
    5
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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!
5
Average
Average
Top 10%