Workload characterization of a location-based social network.
Nenhuma Miniatura disponível
Data
2014
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
Recently, there has been a large popularization
of location-based social networks, such as Foursquare and
Apontador, in which users can share their current locations,
upload tips and make comments about places. Part of this
popularity is due to facility access to the Internet through
mobile devices with GPS. Despite the various efforts
towards understanding characteristics of these systems,
little is known about the access pattern of users in these
systems. Providers of this kind of services need to deal with
different challenges that could benefit of such understanding,
such as content storage, performance and scalability
of servers, personalization and service differentiation
for users. This article aims at characterizing and modeling
the patterns of requests that reach a server of a locationbased
social network. To do that, we use a dataset obtained
from Apontador, a Brazilian system with characteristics
similar to Foursquare and Gowalla, where users share
information about their locations and can navigate on
existent system locations. As results, we identified models
that describe unique characteristics of the user sessions on
this kind of system, patterns in which requests arrive on the
server as well as the access profile of users in the system.
Descrição
Palavras-chave
Workload characterization, Location-based social networks
Citação
LINS, T. S.; PEREIRA, A. C. M.; BEVENUTO, F. R. Workload characterization of a location-based social network. Social Network Analysis and Mining, v. 4, p. 209, 2014. Disponível em: <https://link.springer.com/article/10.1007/s13278-014-0209-1>. Acesso em: 28 jul. 2017.