Spatio-Temporal Composition of Crowdsourced Services

被引：14
|
作者：
Neiat, Azadeh Ghari [1 ]
Bouguettaya, Athman [1 ]
Sellis, Timos [1 ]
机构：
[1] RMIT, Sch Comp Sci & Informat Technol, Melbourne, Vic, Australia
来源：
SERVICE-ORIENTED COMPUTING, (ICSOC 2015) | 2015年 / 9435卷
关键词：
Crowdsourced service; Spatio-temporal composition; Crowdsourced service composition; Spatio-temporal QoS;
D O I：
10.1007/978-3-662-48616-0_26
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a new composition approach for crowdsourced services based on dynamic features such as spatio-temporal aspects. The proposed approach is defined based on a formal crowdsourced service model that abstracts the functionality of crowdsourced data on the cloud in terms of spatio-temporal features. We present a new QoS-aware spatio-temporal union composition algorithm to efficiently select the optimal crowdsourced composition plan. Experimental results validate the performance of the proposed algorithm.
引用
收藏
页码：373 / 382
页数：10
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