User generated content dissemination in mobile social networks through infrastructure supported content replication : Mobile Social Networks
Identifieur interne : 005B65 ( PascalFrancis/Curation ); précédent : 005B64; suivant : 005B66User generated content dissemination in mobile social networks through infrastructure supported content replication : Mobile Social Networks
Auteurs : Kanchana Thilakarathna [Australie] ; Aruna Seneviratne [Australie] ; Aline Carneiro Viana [France] ; Henrik Petander [Australie]Source :
- Pervasive and mobile computing : (Print) [ 1574-1192 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Gestion contenu, Génération automatique, Réplication, Mise à jour, Système tolérant les pannes, Accès contenu, Architecture ordinateur, Complexité temps, Largeur bande, Utilisateur, Auteur, Dissémination, Réseau sans fil, Réseau social, Soutien social, Cognition sociale, Réseau interconnecté, Commercialisation, Bon réduction, Retard, Modèle hybride, Simulation ordinateur, Infrastructure, Informatique mobile.
- Wicri :
- topic : Commercialisation.
English descriptors
- KwdEn :
- Author, Automatic generation, Bandwidth, Computer architecture, Computer simulation, Content access, Content management, Coupon, Delay, Dissemination, Fault tolerant system, Hybrid model, Infrastructure, Interconnected power system, Marketing, Mobile computing, Replication, Social cognition, Social network, Social support, Time complexity, Updating, User, Wireless network.
Abstract
User generated content in mobile social networks such as news items, promotion coupons and traffic updates, are typically short-lived in time and space. Therefore, opportunistic communication as such may not be suitable for user generated content dissemination in mobile social networks due to high content delivery delays. To address the timeliness of the delivery, we propose a hybrid content dissemination strategy, which makes use of available networking infrastructure to replicate content on smartphones, and leverages these replicators to propagate the content to others via opportunistic communication. Using trace-driven simulations, we show that the content can be delivered to all users in a mobile social network within required time bounds by replicating content using infrastructure to only 10% of the consumers. Furthermore, due to the high rate of timely content delivery, the proposed hybrid content dissemination scheme ultimately saves approximately 60% of the infrastructure bandwidth usage compared to traditional opportunistic dissemination in general MSN environments. In addition, the replication strategies proposed in the paper are robust enough to deliver the same performance even with low collaboration of consumers for replication.
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Pascal:14-0201461Le document en format XML
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<front><div type="abstract" xml:lang="en">User generated content in mobile social networks such as news items, promotion coupons and traffic updates, are typically short-lived in time and space. Therefore, opportunistic communication as such may not be suitable for user generated content dissemination in mobile social networks due to high content delivery delays. To address the timeliness of the delivery, we propose a hybrid content dissemination strategy, which makes use of available networking infrastructure to replicate content on smartphones, and leverages these replicators to propagate the content to others via opportunistic communication. Using trace-driven simulations, we show that the content can be delivered to all users in a mobile social network within required time bounds by replicating content using infrastructure to only 10% of the consumers. Furthermore, due to the high rate of timely content delivery, the proposed hybrid content dissemination scheme ultimately saves approximately 60% of the infrastructure bandwidth usage compared to traditional opportunistic dissemination in general MSN environments. In addition, the replication strategies proposed in the paper are robust enough to deliver the same performance even with low collaboration of consumers for replication.</div>
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<s5>08</s5>
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<s5>27</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Retard</s0>
<s5>28</s5>
</fC03>
<fC03 i1="20" i2="X" l="ENG"><s0>Delay</s0>
<s5>28</s5>
</fC03>
<fC03 i1="20" i2="X" l="SPA"><s0>Retraso</s0>
<s5>28</s5>
</fC03>
<fC03 i1="21" i2="X" l="FRE"><s0>Modèle hybride</s0>
<s5>29</s5>
</fC03>
<fC03 i1="21" i2="X" l="ENG"><s0>Hybrid model</s0>
<s5>29</s5>
</fC03>
<fC03 i1="21" i2="X" l="SPA"><s0>Modelo híbrido</s0>
<s5>29</s5>
</fC03>
<fC03 i1="22" i2="X" l="FRE"><s0>Simulation ordinateur</s0>
<s5>30</s5>
</fC03>
<fC03 i1="22" i2="X" l="ENG"><s0>Computer simulation</s0>
<s5>30</s5>
</fC03>
<fC03 i1="22" i2="X" l="SPA"><s0>Simulación computadora</s0>
<s5>30</s5>
</fC03>
<fC03 i1="23" i2="X" l="FRE"><s0>Infrastructure</s0>
<s5>41</s5>
</fC03>
<fC03 i1="23" i2="X" l="ENG"><s0>Infrastructure</s0>
<s5>41</s5>
</fC03>
<fC03 i1="23" i2="X" l="SPA"><s0>Infraestructura</s0>
<s5>41</s5>
</fC03>
<fC03 i1="24" i2="X" l="FRE"><s0>Informatique mobile</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="24" i2="X" l="ENG"><s0>Mobile computing</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="24" i2="X" l="SPA"><s0>Informática móvil</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fN21><s1>251</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
</inist>
</record>
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