The great diffusion of Mobile Web-enabled devices allows the implementation of novel personalization, location and adaptation services that will place unprecedented strains on the server infrastructure of the content provider. This paper has a twofold contribution. First, we analyze the five-years trend of Mobile Web-based applications in terms of workload characteristics of the most popular services and their impact on the server infrastructures. As the technological improvements at the server level in the same period of time are insufficient to face the computational requirements of the future Mobile Web-based services, we propose and evaluate adequate resource management strategies. We demonstrate that pre-adaptating a small fraction of the most popular resources can reduce the response time up to one third thus facing the increased computational impact of the future Mobile Web services.
Resource management strategies for Mobile Web-based services / Canali, Claudia; Colajanni, Michele; Lancellotti, Riccardo. - ELETTRONICO. - N/A:(2008), pp. 172-177. (Intervento presentato al convegno 4th IEEE International Conference on Wireless and Mobile Computing, Networking and Communication, WiMob 2008 tenutosi a Avignon, fra nel October 2008) [10.1109/WiMob.2008.94].
Resource management strategies for Mobile Web-based services
CANALI, Claudia;COLAJANNI, Michele;LANCELLOTTI, Riccardo
2008
Abstract
The great diffusion of Mobile Web-enabled devices allows the implementation of novel personalization, location and adaptation services that will place unprecedented strains on the server infrastructure of the content provider. This paper has a twofold contribution. First, we analyze the five-years trend of Mobile Web-based applications in terms of workload characteristics of the most popular services and their impact on the server infrastructures. As the technological improvements at the server level in the same period of time are insufficient to face the computational requirements of the future Mobile Web-based services, we propose and evaluate adequate resource management strategies. We demonstrate that pre-adaptating a small fraction of the most popular resources can reduce the response time up to one third thus facing the increased computational impact of the future Mobile Web services.
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