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Exploiting Social Relationship to Enable Efficient Replica Allocation in Ad-hoc Social Networks

机译:利用社交关系在临时社交网络中实现有效的副本分配

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Replication is an important mechanism in modern wireless networks and has attracted significant efforts to improve its performance with different metrics including read cost, consistency and relocation cost. Traditionally, different ideal approaches are widely used to facilitate data availability. However, the quality of wireless links would be affected by many factors like mobility and overhead. The accessibility and reliability of Ad-hoc Social Network (ASNET) services can be assured by replication approaches. It is used to increase data availability by replicating data items locally or nearby. In ASNETs, replication helps to avoid data losses in case of an unpredictable group mobility that causes community partition and also aids in reducing the number of hops when a data is transmitted from source to destination. A new data replication method called ComPAS (community-partition aware replica allocation method) is proposed in this paper. This method can significantly improve ASNETs performance by exploiting social relationship while replicating in the community to achieve better efficiency and consistency while keeping the replica relocation cost as low as possible. This type of replica allocation method will increase the availability of different data items in a partitioned social community. Evaluation results verify the effectiveness of the method.
机译:复制是现代无线网络中的一种重要机制,并已通过大量措施(包括读取成本,一致性和重定位成本)来提高其性能,这已经引起了巨大的努力。传统上,广泛使用不同的理想方法来促进数据可用性。但是,无线链接的质量将受到许多因素的影响,例如移动性和开销。复制方法可以确保Ad hoc社交网络(ASNET)服务的可访问性和可靠性。它用于通过在本地或附近复制数据项来提高数据可用性。在ASNET中,在无法预测的组移动性导致社区划分的情况下,复制有助于避免数据丢失,并且还有助于减少从源到目的地传输数据时的跃点数。本文提出了一种新的数据复制方法,称为ComPAS(社区分区感知副本分配方法)。通过在社区中进行复制时利用社交关系,可以提高ASNET的性能,从而实现更好的效率和一致性,同时将副本的重定位成本保持在尽可能低的水平。这种副本分配方法将增加分区社会社区中不同数据项的可用性。评估结果验证了该方法的有效性。

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