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作者:

Gao, Yunxiang (Gao, Yunxiang.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Xu, Zhusheng (Xu, Zhusheng.) | Gao, Chaoqin (Gao, Chaoqin.)

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EI Scopus

摘要:

Mobile IM (Instant Messaging) users are more frequently online and offline than fixed users. It incurs large presence message traffic that significantly consumes the limited service resources. Some studies indicate that presence delayed update can effectively reduce the traffic. Firstly, we analyze presence update process and research presence distribution. Secondly, we use mathematical model to analyze presence delayed update. At last, we modify existing simulation methods to validate the model in respect of accuracy and effectiveness.

关键词:

Artificial intelligence Message passing Software engineering

作者机构:

  • [ 1 ] [Gao, Yunxiang]College of Computer Science and Technology, Beijing University of Technology, China
  • [ 2 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, China
  • [ 3 ] [Xu, Zhusheng]College of Computer Science and Technology, Beijing University of Technology, China
  • [ 4 ] [Gao, Chaoqin]College of Computer Science and Technology, Beijing University of Technology, China

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来源 :

Advances in Information Sciences and Service Sciences

ISSN: 1976-3700

年份: 2011

期: 4

卷: 3

页码: 68-75

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

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