A new community-based context distribution approach for large-scale pervasive systems
A new community-based context distribution approach for large-scale pervasive systems
复制标题
针对大规模普适系统的一种新的基于社区的上下文分发方法
DOI：
10.1504/ijahuc.2013.056417
复制
发表时间：
2013
影响因子：
0.7
通讯作者：
N. Nematbakhsh
中科院分区：
文献类型：
--
作者：
H. Vahdat;K. Zamanifar;N. Nematbakhsh
在大规模普适计算环境中，上下文源根据上下文消费者的需要不断创建大量上下文。可扩展性是管理和分发如此大量数据的一个挑战。在本研究中，提出了一种新的上下文分发方案，该方案基于形成上下文消费者社区来提高可扩展性。社区成员的主要特征是追求相同的上下文类型。在构成消费者社区之后，上下文分发系统利用基于推送的方法在感兴趣的实体之间分发上下文信息。实验结果表明了该方案在大规模环境中的有效性。
In large-scale pervasive computing environments, a huge amount of context is continuously created by context sources and as required by context consumers. Scalability is a challenge for managing and distributing this amount of data. In this research, a new scheme for context distribution is proposed which is based on forming context consumer communities to improve scalability. The main feature of members of a community is pursuing the same context types. After constituting the consumer communities, the context-distribution system makes use of a push-based approach for distributing context information among interested entities. Experimental results show the efficiency of the proposed scheme in large-scale environments.