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https://doi.org/10.1109/mcsa.2...
Article . 2002 . Peer-reviewed
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A mobile code toolkit for adaptive mobile applications

Authors: Thomas Kunz; Salim Omar;

A mobile code toolkit for adaptive mobile applications

Abstract

Cellular and wireless communication, portable computers and satellite services promise mobile users to have access to information anywhere and anytime. However, mobile computing is characterized by many constraints: small, slow, battery-powered portable devices, variable and low-bandwidth communication links. Together, they complicate the design of mobile information systems and require rethinking traditional approaches to information access and application design. The relative resource shortage of portable devices as well as their lower trust and robustness argue for reliance on static servers. The need to cope with unreliable and low-performance networks, as well as the need to be sensitive to power consumption argues for self-reliance. Any feasible approach to mobile computing must strike a balance between these competing issues. This balance cannot be static as the environment of mobile computing changes, it must react, or in other words, the applications must be adaptive. We propose an approach for adaptive mobile applications based on mobile code. To demonstrate our ideas, we are developing a mobile code toolkit and implemented a resource-intense application, an MP3 player.

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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!
5
Average
Top 10%
Average