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Trusted Dynamic Storage for Dunbar-Based P2P Online Social Networks

机译:基于Dunbar的P2P在线社交网络可信动态存储

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Online Social Networks (OSNs) are becoming more and more popular in today's Internet. Distributed Online Social Networks (DOSNs), are OSNs which do not exploit a central server for storing users' data and enable users to have more control on their profile content, ensuring a higher level of privacy. The main challenge of DOSNs comes from guaranteeing availability of the data when the data owner is offline. In this paper we propose a new P2P dynamic approach to the problem of data persistence in DOSNs. By following Dunbar's approach, our system stores the data of a user only on a restricted number of friends which have regular contacts with him/her. Users in this set are chosen by considering several criteria targeting different goals. Differently from other approaches, nodes chosen to keep data replicas are not statically defined but dynamically change according to users' churn. Our dynamic friend selection achieves availability higher than 90% with a maximum of 2 online profile replicas at a time for users with at least 40 friends. By using real Facebook data traces we prove that our approach offers high availability even when the online time of users is low.
机译:在线社交网络(OSNS)在今天的互联网中变得越来越受欢迎。分布式在线社交网络(DOSN)是OSN,它不利用中央服务器以存储用户数据,并使用户能够在其配置文件内容上具有更多控制,确保更高级别的隐私。 DOSN的主要挑战来自保证数据所有者脱机时数据的可用性。在本文中,我们提出了一种新的P2P动态方法,可以解决DOSN中的数据持久性问题。通过遵循Dunbar的方法,我们的系统仅在与他/她与他/她定期联系的受限制的朋友上存储用户的数据。通过考虑针对不同目标的若干标准,选择此集合中的用户。与其他方法不同,选择保留数据副本的节点不会静态定义,但根据用户的流失动态地改变。我们的动态朋友选择可以实现高于90%的可用性,最多2个在线个人资料副本,至少有40个朋友的用户。通过使用真正的Facebook数据迹线,我们证明我们的方法即使用户的在线时间低,也可以提供高可用性。

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