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Adaptive Component Allocation in ScudWare Middleware for Ubiquitous Computing

Authors: Qing Wu; Zhaohui Wu 0001;

Adaptive Component Allocation in ScudWare Middleware for Ubiquitous Computing

Abstract

With the increasing prevalence of ubiquitous computing, the software component allocation while meeting various resources constraints and component interdependence is crucial, which poses many kinds of challenges. This paper mainly presents an adaptive component allocation algorithm in ScudWare middleware for ubiquitous computing, which uses dynamic programming and forward checking methods. We have applied this algorithm to a mobile music space program and made many experiments to test its performance. The contribution of our work is twofold. First, our algorithm considers resources constraints requirement, component interdependence, and component tolerant issues. Second, we put forward a component interdependence graph to describe interdependent relationships between components. As a result, the evaluation of component allocations has showed our method is applicable and scalable.

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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!
4
Average
Average
Top 10%
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