From Service Identification to Service Selection: An Interleaved Perspective

Author(s):  
Devis Bianchini ◽  
Francesco Pagliarecci ◽  
Luca Spalazzi
2009 ◽  
Vol 31 (8) ◽  
pp. 1398-1411 ◽  
Author(s):  
Ming-Wei ZHANG ◽  
Wei-Jie WEI ◽  
Bin ZHANG ◽  
Xi-Zhe ZHANG ◽  
Zhi-Liang ZHU

2010 ◽  
Vol 33 (11) ◽  
pp. 2116-2125 ◽  
Author(s):  
Yan-Ping CHEN ◽  
Jian-Ke ZHANG ◽  
Jia-Ze SUN ◽  
Qing-Hua ZHENG ◽  
Zheng-Zhi LI

2009 ◽  
Vol 29 (3) ◽  
pp. 892-895 ◽  
Author(s):  
Run-cai HUANG ◽  
Yi-wen ZHUANG ◽  
Ji-liang ZHOU ◽  
Qi-ying CAO

2010 ◽  
Vol 30 (4) ◽  
pp. 872-875
Author(s):  
Hai WANG ◽  
Zheng-dong ZHU ◽  
Zeng-zhi LI

Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.


2020 ◽  
Vol 51 (2) ◽  
pp. 449-484
Author(s):  
Mohammad Daghaghzadeh ◽  
Seyed Morteza Babamir

2018 ◽  
Vol 15 (4) ◽  
pp. 45-60
Author(s):  
Negar Abbasi ◽  
Ali Moeini ◽  
Taghi Javdani Gandomani

Identification of web service candidates in legacy software is a crucial process in the reengineering of legacy systems to service oriented architecture. Researchers have proposed various automatic and semi-automatic methods for this purpose, some of which have proved to be quite efficient, but there are still certain gaps which need to be addressed. This article discovers the strengths and weaknesses of previous methods and develops a method with improved service candidate identification performance. In this article, service identification is considered as a search and optimization problem and a firefly algorithm is developed accordingly to give high-quality solutions in reasonably short times. A filtering method is also developed to remove excess modules (false positives) from the algorithm outputs. A case study on a legacy flight reservation system demonstrates the high reliability of the outputs given by the proposed method.


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