Optimization modeling and analysis of trustworthiness determination strategies for service discovery of MSNP

Xixi Ma, Qun Jin, Julong Pan, Yufeng Wang

    研究成果: Article査読

    1 被引用数 (Scopus)

    抄録

    In trustworthy service discovery for Mobile Social Networking in Proximity (MSNP), conventional trust computation faces a big challenging issue—relatively high latency. To cope with it, trustworthiness determination strategies were proposed in our previous study, aiming at avoiding trust computation under certain conditions, so as to reduce the latency. These strategies are conceived based on the assumption that data of a user’s past experience and current profile could be used, and they are incorporated with a set of thresholds from the analysis result of these data. The settings of these thresholds directly affect service quality and user satisfaction on the MSNP service, which in turn becomes an optimization problem. In this paper, we focus on formulating this optimization problem and demonstrating the effectiveness of our proposed solution by designing a simulation experiment. In detail, we establish mathematical models and adjust parameters. We conduct simulations on MATLAB and analyze the results obtained under several different settings. We further compare our work with related works. The results show that our proposed solution is practically feasible and effective in reducing latency under certain conditions.

    本文言語English
    ページ(範囲)1-17
    ページ数17
    ジャーナルJournal of Supercomputing
    DOI
    出版ステータスAccepted/In press - 2018 2 16

    ASJC Scopus subject areas

    • ソフトウェア
    • 理論的コンピュータサイエンス
    • 情報システム
    • ハードウェアとアーキテクチャ

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