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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Software engineering Artificial intelligence Message passing

Author Community:

  • [ 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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Source :

Advances in Information Sciences and Service Sciences

ISSN: 1976-3700

Year: 2011

Issue: 4

Volume: 3

Page: 68-75

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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