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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/978-1-...
Part of book or chapter of book . 2002 . Peer-reviewed
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https://dx.doi.org/10.1007/978...
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descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 01 Jan 2002Publisher:Springer US
Authors: Zeliha Dilsun Kirli;

doi: 10.1007/978-1-4615-1007-9_3

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Abstract

One of the positive qualities associated with mobile computation is that it provides a flexible setting for sharing computational resources. A piece of code can move towards a site which hosts the resources it aims to exploit. Input/output devices, file systems, network, memory and processing power (CPU cycles) are typical examples of shared resources which may be exploited by mobile code.

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Powered by OpenAIRE graph
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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!
0
Average
Average
Average
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