Toward Mobile Service Computing: Opportunities and Challenges

2016 ◽  
Vol 3 (4) ◽  
pp. 32-41 ◽  
Author(s):  
Shuiguang Deng ◽  
Longtao Huang ◽  
Hongyue Wu ◽  
Wei Tan ◽  
Javid Taheri ◽  
...  
Keyword(s):  
Mobile Service ◽  
Service Computing ◽  
Mobile Service Computing

Mobile Service Computing

2020 ◽  
Author(s):  
Shuiguang Deng ◽  
Hongyue Wu ◽  
Jianwei Yin
Keyword(s):  
Mobile Service ◽  
Service Computing ◽  
Mobile Service Computing

scholarly journals Special issue on recent advances in mobile service computing and applications

2019 ◽  
Vol 26 (8) ◽  
pp. 5501-5502
Author(s):  
Honghao Gao ◽  
Yuyu Yin ◽  
Yucong Duan
Keyword(s):  
Mobile Service ◽  
Special Issue ◽  
Service Computing ◽  
Recent Advances ◽  
Mobile Service Computing

Artificial Intelligence Platform for Mobile Service Computing

2019 ◽  
Vol 91 (10) ◽  
pp. 1179-1189 ◽  
Author(s):  
Haikuo Zhang ◽  
Zhonghua Lu ◽  
Ke Xu ◽  
Yuchen Pang ◽  
Fang Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Mobile Service ◽  
Service Computing ◽  
Mobile Service Computing

scholarly journals Editorial: ACM/Springer Mobile Networks & Applications - Special Issue on Mobile Service Computing and Applications

2019 ◽  
Vol 25 (2) ◽  
pp. 373-375
Author(s):  
Honghao Gao ◽  
Jianwei Yin ◽  
Gongzhu Hu
Keyword(s):  
Mobile Networks ◽  
Mobile Service ◽  
Special Issue ◽  
Service Computing ◽  
Mobile Service Computing

scholarly journals Energy Efficient Mobile Service Computing With Differential Spintronic-C-Elements: A Logic-in-Memory Asynchronous Computing Paradigm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55851-55860
Author(s):  
Ashkan Samiee ◽  
Yunchuan Sun ◽  
Ronald F. Demara ◽  
Yoonsuk Choi ◽  
Yu Bai
Keyword(s):  
Energy Efficient ◽  
Mobile Service ◽  
Service Computing ◽  
Computing Paradigm ◽  
Mobile Service Computing

scholarly journals i-VALS: Visual Attention Localization for Mobile Service Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 45166-45181 ◽  
Author(s):  
Zhiping Jiang ◽  
Kun Zhao ◽  
Rui Li ◽  
Jizhong Zhao
Keyword(s):  
Visual Attention ◽  
Mobile Service ◽  
Service Computing ◽  
Mobile Service Computing

Enterprise Mobile Service Architecture

2013 ◽  
pp. 295-333 ◽  
Author(s):  
Longji Tang ◽  
Wei-Tek Tsai ◽  
Jing Dong
Keyword(s):  
System Integration ◽  
Service Management ◽  
Mobile Systems ◽  
Practical Implementation ◽  
Mobile Service ◽  
Service Architecture ◽  
Service Computing ◽  
Delivery Services ◽  
Service Consumer ◽  
Service Data

Today, enterprise systems are integrated across wired and wireless networks. Enterprise Mobile Service Computing (EMSC) is a recent development style in distributed computing, and Enterprise Mobile Service Architecture (EMSA) is a new enterprise architectural style for mobile system integration. This chapter introduces the concepts of EMSC, discusses the opportunities, and addresses mobile constraints and challenges in EMSC. The mobile constraints include aspects relating to mobile hardware, software, networking, and mobility. Many issues such as availability, performance, and security are encountered due to these constraints. To address these challenges in EMSC, the chapter proposes seven architectural views: Enterprise Mobile Service, Enterprise Mobile Service Consumer, Enterprise Mobile Service Data, Enterprise Mobile Service Process, Enterprise Mobile Service Infrastructure, Enterprise Mobile Service Management, and Enterprise Mobile Service Quality. Each is described with principles, design constraints, and emerging technologies. In order to illustrate a practical implementation of EMSA, the chapter presents a major shipping and delivery services enterprise as a case study to describe the integration of Service-driven mobile systems in the enterprise.

scholarly journals Mobile Service Recommendation via Combining Enhanced Hierarchical Dirichlet Process and Factorization Machines

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Buqing Cao ◽  
Bing Li ◽  
Jianxun Liu ◽  
Mingdong Tang ◽  
Yizhi Liu ◽  
...  
Keyword(s):  
Dirichlet Process ◽  
Web Application ◽  
Value Added ◽  
Mobile Services ◽  
Mobile Service ◽  
Hierarchical Dirichlet Process ◽  
High Quality ◽  
Service Computing ◽  
Factorization Machine ◽  
Latent Topics

Recently, Mashup is becoming a promising software development method in the mobile service computing environment, which enables software developers to compose existing mobile services to create new or value-added composite RESTful web application. Due to the rapid increment of mobile services on the Internet, it is difficult to find the most suitable services for building user-desired Mashup application. In this paper, we integrate word embeddings enhanced hierarchical Dirichlet process and factorization machines to recommend mobile services to build high-quality Mashup application. This method, first of all, extends the description documents of Mashup applications and mobile services by using Word2vec tool and derives latent topics from the extended description documents of Mashup and mobile services by exploiting the hierarchical Dirichlet process. Secondly, the factorization machine is applied to train these latent topics to predict the probability of mobile services invoked by Mashup and recommend mobile services with high-quality for Mashup development. Finally, the performance of the proposed method is comprehensively evaluated. The experimental results indicate that compared with the existing recommendation methods, the proposed method has significant improvements in MAE and RMSE.

The Effect of Service Quality on Customers' Satisfaction in Mobile Phone Services in the UAE

2020 ◽  
Vol 8 (1) ◽  
pp. 75-94
Author(s):  
Emad Yusuf Masoud
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Mobile Phone ◽  
Service Providers ◽  
Mobile Service ◽  
Behavioural Difference ◽  
Mobile Industry ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Network Quality

This study aims to determine the dimensions of mobile service quality and to examine their effect on customer satisfaction in UAE mobile phone service providers while also investigating the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. A combination of the SERVPERF model has been adopted as the main framework for analyzing service quality. A structured questionnaire instrument was designed for data collection. The present study concentrates on the level of customers’ satisfaction for leading service providers in the UAE mobile industry. Etisalat and Du were chosen for this study. A sample of (452) mobile phone users in Abu Dhabi city was selected at random using convenience-sampling. We found a positive effect of both functional and technical service quality (network quality) on customers’ satisfaction. Functional and technical dimensions were good predictors of customer satisfaction and confirmed the multidimensional nature of service quality. Also, the service quality dimensions; reliability, assurances, and responsiveness are found to be significant predictors of customer satisfaction. Behavioural difference between mobile phone customers is also significant in predicting customer satisfaction for postpaid subscribers. However, only reliability and network quality are significant predictors of customer satisfaction for prepaid subscribers. The model developed in this study provides marketers and researchers with a diagnostic tool to assess service quality from the perspectives of customers to meet the customer’s expectations and ensure customer satisfaction.

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