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rdf:type
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Description
| - Usage of mobile devices has grown over the past years. The term %22mobile devices%22 covers many different kinds of devices (e.g. smart phones, cell phones, personal digital assistant (PDA), tablets, netbooks, etc.). A typical example that shows the growth of technologies is the smart phone. A Smart phone serves not only for voice calls and typing SMS, but can be used to access the internet and e-mails, play music and movies, and access remote storages. The Disadvantage of mobile devices is that they do not have a wired connection to the internet and thus the connection can vary. It can be fast while using WI-FI or the 3G mobile network or very slow using an old GRPS technology. 3G and other state-of-the-art technologies are not available everywhere. But users want to access their files as quickly and reliably as they can access them on a wired connection. If data are demanded repeatedly, they can be stored on mobile devices in an intermediate component called a cache. However, the capacity of the cache is limited; thus we should store only the data that will probably be demanded again in the future. In this article, we present a caching algorithm which is based on client and server statistics. These statistics are used to predict a user's future behaviour.
- Usage of mobile devices has grown over the past years. The term %22mobile devices%22 covers many different kinds of devices (e.g. smart phones, cell phones, personal digital assistant (PDA), tablets, netbooks, etc.). A typical example that shows the growth of technologies is the smart phone. A Smart phone serves not only for voice calls and typing SMS, but can be used to access the internet and e-mails, play music and movies, and access remote storages. The Disadvantage of mobile devices is that they do not have a wired connection to the internet and thus the connection can vary. It can be fast while using WI-FI or the 3G mobile network or very slow using an old GRPS technology. 3G and other state-of-the-art technologies are not available everywhere. But users want to access their files as quickly and reliably as they can access them on a wired connection. If data are demanded repeatedly, they can be stored on mobile devices in an intermediate component called a cache. However, the capacity of the cache is limited; thus we should store only the data that will probably be demanded again in the future. In this article, we present a caching algorithm which is based on client and server statistics. These statistics are used to predict a user's future behaviour. (en)
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Title
| - Design and Implementation of a Caching Algorithm Applicable to Mobile Clients
- Design and Implementation of a Caching Algorithm Applicable to Mobile Clients (en)
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skos:prefLabel
| - Design and Implementation of a Caching Algorithm Applicable to Mobile Clients
- Design and Implementation of a Caching Algorithm Applicable to Mobile Clients (en)
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skos:notation
| - RIV/49777513:23520/12:43917796!RIV13-MSM-23520___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/49777513:23520/12:43917796
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - caching policy; cache; mobile device (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...v/svazekPeriodika
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http://linked.open...iv/tvurceVysledku
| - Matějka, Luboš
- Pešička, Ladislav
- Šafařík, Jiří
- Bžoch, Pavel
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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