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  • 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)
Title
  • Design and Implementation of a Caching Algorithm Applicable to Mobile Clients
  • Design and Implementation of a Caching Algorithm Applicable to Mobile Clients (en)
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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  • RIV/49777513:23520/12:43917796!RIV13-MSM-23520___
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  • RIV/49777513:23520/12:43917796
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  • caching policy; cache; mobile device (en)
http://linked.open.../riv/klicoveSlovo
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  • SI - Slovinská republika
http://linked.open...ontrolniKodProRIV
  • [38148CFECB40]
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  • 36
http://linked.open...iv/tvurceVysledku
  • Matějka, Luboš
  • Pešička, Ladislav
  • Šafařík, Jiří
  • Bžoch, Pavel
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  • 0350-5596
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  • 23520
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