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Adaptable Mobile Applications: Exploiting Logical Mobility in Mobile Computing

Authors: Zachariadis, S; Mascolo, C; Emmerich, W;

Adaptable Mobile Applications: Exploiting Logical Mobility in Mobile Computing

Abstract

An increasing number of applications is being written for mobile hosts, such as laptop computers, mobile phones, PDAs etc. These applications are usually monolithic, featuring very limited interoperability and context-awareness and are usually difficult to deploy and update. Application engineers have to deal with a very dynamic set of environments that these applications are in contact with and it is becoming increasingly difficult to design an application that will be able to cater to all the user’s needs in those environments. This new setting forces a shift from design-time to run-time effort in developing software systems. To solve these problems and to allow a new class of ubiquitous and adaptable applications to be built, we have designed and implemented satin, a middleware system that allows the flexible use of logical mobility techniques by applications running on mobile hosts which are connected to very different networks. In this paper we describe our approach and show how satin can be used to deploy and update applications on mobile devices easily and efficiently.

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    popularity
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    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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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
9
Average
Top 10%
Top 10%
Green