A computational experiment-based evaluation method for context-aware services in complicated environment

被引：18
|
作者：
Xue, Xiao [1 ]
Wang, Shufang [2 ]
Gui, Bin [1 ]
Hou, Zhanwei [1 ]
机构：
[1] Henan Polytech Univ, Sch Comp Sci, Jiaozuo 454000, Peoples R China
[2] Henan Polytech Univ, Sch Econ & Management, Jiaozuo 454000, Peoples R China
来源：
INFORMATION SCIENCES | 2016年 / 373卷
基金：
中国国家自然科学基金;
关键词：
Context-aware service; Service strategy; Computational experiment; Performance evaluation; Coal mining industry; MANAGEMENT; MODEL;
D O I：
10.1016/j.ins.2016.09.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One context-aware service system can be implemented by various customized service strategies, by which the performance achieved can be significantly different. In particular, incorrect or non-real time context-aware service would not work well and even cause disastrous consequences in some special and complicated conditions. Therefore, performance evaluation of different service strategies in complicated environments is important. Due to the diversity of context events, and the economic, legal, and ethical limitations, however, it is rather difficult or even impossible for traditional methods to conduct comprehensive evaluation for various service strategies. In this paper, we propose a computational experiment-based evaluation method, which mainly consists of three parts: customization of context-aware services, construction of experiment system, and performance evaluation of service strategy. Furthermore, one application of this method in coal mine industry is investigated specially. Alarm and evacuation services are taken as evaluation objects, and their implementation strategies are compared by designing different "disaster scenes" on our experiment platform. Experiment results show the effectiveness of the proposed method. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码：269 / 286
页数：18
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