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rdf:type
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Description
| - Using of mobile devices has grown over the past years. Under the term %22mobile devices%22, we can see cell phones, personal digital assistants (PDA), smart phones, netbooks, tablets etc. Mobile devices provide many function e.g. accessing internet and e-mail, playing music and movies, accessing files from remote storage. Disadvantage of mobile devices is that connection to the internet can vary. It can be very fast while using 3G mobile network or very slow while using an old GPRS connection. The newest mobile communication technologies are not available everywhere. But the users usually want to access their files as quickly as they can access them on wire-connection. If data are demanded repeatedly, they can be stored in mobile device in an intermediate component called a cache. The cache capacity is limited, so we should store in the cache only data that will be probably required in the future. In this paper, we present innovated caching algorithm. The algorithm is based on local and server statistics that are used to predict user behavior.
- Using of mobile devices has grown over the past years. Under the term %22mobile devices%22, we can see cell phones, personal digital assistants (PDA), smart phones, netbooks, tablets etc. Mobile devices provide many function e.g. accessing internet and e-mail, playing music and movies, accessing files from remote storage. Disadvantage of mobile devices is that connection to the internet can vary. It can be very fast while using 3G mobile network or very slow while using an old GPRS connection. The newest mobile communication technologies are not available everywhere. But the users usually want to access their files as quickly as they can access them on wire-connection. If data are demanded repeatedly, they can be stored in mobile device in an intermediate component called a cache. The cache capacity is limited, so we should store in the cache only data that will be probably required in the future. In this paper, we present innovated caching algorithm. The algorithm is based on local and server statistics that are used to predict user behavior. (en)
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Title
| - Towards Caching Algorithm Applicable to Mobile Clients
- Towards Caching Algorithm Applicable to Mobile Clients (en)
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skos:prefLabel
| - Towards Caching Algorithm Applicable to Mobile Clients
- Towards Caching Algorithm Applicable to Mobile Clients (en)
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skos:notation
| - RIV/49777513:23520/12:43915746!RIV13-MSM-23520___
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http://linked.open...avai/predkladatel
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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...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/49777513:23520/12:43915746
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Cache, Caching Policy, Mobile Devices, LFU-SS, LRFU-SS (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the Federated Conference on Computer Science and Information Systems
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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...iv/tvurceVysledku
| - Matějka, Luboš
- Pešička, Ladislav
- Šafařík, Jiří
- Bžoch, Pavel
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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