Event Based Semantic Location Model in Cooperative Mobile Computing

2009 ◽  
Author(s):  
Zhengyong Zhang ◽  
Jing Yang ◽  
Junzhong Gu ◽  
Yingchen Xu
Keyword(s):  
Mobile Computing ◽  
Location Model ◽  
Event Based ◽  
Semantic Location

scholarly journals Development and implementation of a dynamic and 4D GIS based on semantic location model

2019 ◽  
Vol 22 (3) ◽  
pp. 193-213 ◽  
Author(s):  
Xinyan Zhu ◽  
Tao Hu ◽  
Xinyue Ye ◽  
Wei Guo ◽  
Liang Huang ◽  
...  
Keyword(s):  
Location Model ◽  
Semantic Location

High Performance Scheduling Mechanism for Mobile Computing Based on Self-Ranking Algorithm (SRA)

2009 ◽  
pp. 127-142
Author(s):  
Hesham A. Ali ◽  
Tamer Ahmed Farrag
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Total Error ◽  
Access Point ◽  
Programming Approach ◽  
Proper Solution ◽  
Ranking Algorithm ◽  
Computing Environment ◽  
Event Based

Due to the rapidly increasing of the mobile devices connected to the internet, a lot of researches are being conducted to maximize the benefit of such integration. The main objective of this paper is to enhance the performance of the scheduling mechanism of the mobile computing environment by distributing some of the responsibilities of the access point among the available attached mobile devices. To this aim we investigate a scheduling mechanism framework that comprises an algorithm provides the mobile device with the authority to evaluate itself as a resource. The proposed mechanism is based on the proposing of “self ranking algorithm (SRA)” which provides a lifetime opportunity to reach a proper solution. This mechanism depends on event-based programming approach to start its execution in a pervasive computing environment. Using such mechanism will simplify the scheduling process by grouping the mobile devices according to their self -ranking value and assign tasks to these groups. Moreover, it will maximize the benefit of the mobile devices incorporated with the already existing grid systems by using their computational power as a subordinate value to the overall power of the system. Furthermore, we evaluate the performance of the investigated algorithm extensively, to show how it overcomes the connection stability problem of the mobile devices. Experimental results emphasized that, the proposed SRA has a great impact in reducing the total error and link utilization compared with the traditional mechanism.

High Performance Scheduling Mechanism for Mobile Computing Based on Self-Ranking Algorithm

2009 ◽  
pp. 3151-3167
Author(s):  
Hesham A. Ali ◽  
Tamer Ahmed Farrag
Keyword(s):  
Mobile Computing ◽  
Mobile Devices ◽  
High Performance ◽  
Total Error ◽  
Access Point ◽  
Programming Approach ◽  
Proper Solution ◽  
Ranking Algorithm ◽  
Computing Environment ◽  
Event Based

Due to the rapidly increasing number of mobile devices connected to the Internet, a lot of research is being conducted to maximize the benefit of such integration. The main objective of this article is to enhance the performance of the scheduling mechanism of the mobile computing environment by distributing some of the responsibilities of the access point among the available attached mobile devices. To this aim, we investigate a scheduling mechanism framework that comprises an algorithm that provides the mobile device with the authority to evaluate itself as a resource. The proposed mechanism is based on the “self ranking algorithm” (SRA), which provides a lifetime opportunity to reach a proper solution. This mechanism depends on an event-based programming approach to start its execution in a pervasive computing environment. Using such a mechanism will simplify the scheduling process by grouping mobile devices according to their self-ranking value and assigning tasks to these groups. Moreover, it will maximize the benefit of the mobile devices incorporated with the already existing Grid systems by using their computational power as a subordinate value to the overall power of the system. Furthermore, we evaluate the performance of the investigated algorithm extensively, to show how it overcomes the connection stability problem of the mobile devices. Experimental results emphasized that the proposed SRA has a great impact in reducing the total error and link utilization compared with the traditional mechanism.

Semantic Location Modeling for Mobile Enterprises

2009 ◽  
pp. 2530-2566
Author(s):  
Soe-Tsyr Yuan ◽  
Pei-Hung Hsieh
Keyword(s):  
Business Models ◽  
Location Model ◽  
Location Based Services ◽  
Dynamic Semantic ◽  
Business Partners ◽  
Location Models ◽  
Novel Method ◽  
Location Modeling ◽  
Model Platform ◽  
Semantic Location

A location model represents the inclusive objects and their relationships in a space and helps engender the values of location based services (LBS). Nevertheless, LBS for enterprise decision support are rare due to the common use of static location models. This chapter presents for enterprises a framework of dynamic semantic location modeling that is novel in three ways: (1) It profoundly brings location models into enterprise business models; (2) with a novel method of dynamic semantic location modeling, enterprises effectively recognize the needs of the clients and the partners scattered in different locations, advancing existing business relationships by exerting appropriate service strategies through their mobile workforces; (3) through the location model platform of information sharing, enterprises are empowered to discover potential business partners and predict the values of their cooperation, gaining competitive advantages when appropriate partnership deals are made by enterprise mobile workforces. This proposed framework has been implemented with the J2EE technology and attained the positive evidences of its claimed values.

Semantic Location Modeling for Mobile Enterprises

2011 ◽  
pp. 289-322
Author(s):  
Soe-Tsyr Yuan ◽  
Pei-Hung Hsieh
Keyword(s):  
Business Models ◽  
Location Model ◽  
Location Based Services ◽  
Dynamic Semantic ◽  
Business Partners ◽  
Location Models ◽  
Novel Method ◽  
Location Modeling ◽  
Model Platform ◽  
Semantic Location

A location model represents the inclusive objects and their relationships in a space, and helps engender the values of location based services (LBS). Nevertheless, LBS for enterprise decision support are rare due to the common use of static location models. This chapter presents for enterprises a framework of dynamic semantic location modeling that is novel at three-fold: (1) Profoundly bring into the enterprise business models the location models. (2) With a novel method of dynamic semantic location modeling, enterprises effectively recognize the needs of the clients and the partners scattering in different locations, advancing existing business relationships by exerting appropriate service strategies through their mobile workforces. (3) Through the Location Model Platform of information sharing, enterprises are empowered to discover the potential business partners and predict the values of their cooperation, gaining competitive advantages when appropriate partnership deals are made by enterprise mobile workforces. This proposed framework has been implemented with the J2EE technology and attained the positive evidences of its claimed values.

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