The study on mobile Web service computing for data collecting

Author(s):  
Luqun Li ◽  
Minglu Li ◽  
Chengqin Ji ◽  
Dong Wang
Author(s):  
Apostolos Papageorgiou ◽  
Jeremias Blendin ◽  
André Miede ◽  
Julian Eckert ◽  
Ralf Steinmetz

2013 ◽  
pp. 1188-1203
Author(s):  
Ricardo Queirós ◽  
Mário Pinto

Recent studies of mobile Web trends show the continued explosion of mobile-friend content. However, the wide number and heterogeneity of mobile devices poses several challenges for Web programmers, who want automatic delivery of context and adaptation of the content to mobile devices. Hence, the device detection phase assumes an important role in this process. In this chapter, the authors compare the most used approaches for mobile device detection. Based on this study, they present an architecture for detecting and delivering uniform m-Learning content to students in a Higher School. The authors focus mainly on the XML device capabilities repository and on the REST API Web Service for dealing with device data. In the former, the authors detail the respective capabilities schema and present a new caching approach. In the latter, they present an extension of the current API for dealing with it. Finally, the authors validate their approach by presenting the overall data and statistics collected through the Google Analytics service, in order to better understand the adherence to the mobile Web interface, its evolution over time, and the main weaknesses.


Author(s):  
Zhun Shen ◽  
Ka Lok Man ◽  
Hai-Ning Liang ◽  
Nan Zhang ◽  
Charles Fleming ◽  
...  

2014 ◽  
Vol 11 (1) ◽  
pp. 57-75 ◽  
Author(s):  
Mingdong Tang ◽  
Zibin Zheng ◽  
Liang Chen ◽  
Jianxun Liu ◽  
Buqing Cao ◽  
...  

Service computing has become a key-enabling technology to support collaboration and interaction among business partners and customers. With the development of new emerging service-related computing paradigms such as Cloud Computing and Mobile Internet, more and more services are provided by different providers. These services are becoming increasingly complex. Aiming at recommending high-quality and trustful services in the complex service computing environment, this paper presents a trust-aware search engine by integrating service functionalities, QoS (quality of service) and service trust. The proposed search engine primarily contains four components: keyword-based service matching, service QoS evaluation, service reputation evaluation and a hybrid ranking method which combines the results yielded by the previous three components to produce final service recommendations. To evaluate the performance of the authors' service search engine, comprehensive experiments are conducted using a real Web service dataset. The experimental results show that our approach outperforms conventional QoS-based service selection methods. Finally, a prototype is also presented to validate the authors' trust-aware Web service search engine.


Author(s):  
Satish Narayana Srirama ◽  
Matthias Jarke ◽  
Wolfgang Prinz

2012 ◽  
Vol 10 (3) ◽  
pp. 13-26
Author(s):  
Xiaomin Zhu ◽  
Zhongxiang He ◽  
Shengbo Shi

Extensible Markup Language (XML) is a textual markup language which becomes more and more important in the Internet web service. However, some distinct disadvantages exist in XML, such as its nature of redundancy, which consumes the limited network’s bandwidth greatly especially in mobile computing. Considering the characteristics of the mobile commerce, the handsets’ memory capability and data processing time are two problems for XML being applied. This paper studies an enhancement of XML for the purpose of application in mobile e-commerce, called SXML, which means Simple XML to enhance the XML used in mobile web service. It helps XML producers minimizing the size effects of XML, e.g., the size overhead and slow implementation speed. Comprehensive simulations show that the SXML could reduce the size of XML documents and reduce the time of implementation, consequently utilize the bandwidth effectively.


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