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
相关论文
共 6 条
[1]   Binary integer programming formulation and heuristics for differentiated coverage in heterogeneous sensor networks [J].
Altinel, I. Kuban ;
Aras, Necati ;
Guney, Evren ;
Ersoy, Cem .
COMPUTER NETWORKS, 2008, 52 (12) :2419-2431
[2]  
Hossain M.A., 2013, INT J DISTRIB SENS N, V2013, P1
[3]   Spatio-Temporal Composition of Sensor Cloud Services [J].
Neiat, Azadeh Ghari ;
Bouguettaya, Athman ;
Sellis, Timos ;
Ye, Zhen .
2014 IEEE 21ST INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2014), 2014, :241-248
[4]  
Neiat AG, 2014, LECT NOTES COMPUT SC, V8831, P368, DOI 10.1007/978-3-662-45391-9_26
[5]   Spatio-temporal indexing for large multimedia applications [J].
Theodoridis, Y ;
Vazirgiannis, M ;
Sellis, T .
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, 1996, :441-448
[6]   QoS-aware middleware for Web Services Composition [J].
Zeng, LZ ;
Benatallah, B ;
Ngu, AHH ;
Dumas, M ;
Kalagnanam, J ;
Chang, H .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2004, 30 (05) :311-327