The Model Design of Mobile Resource Scheduling in Large Scale Activities

Large scale exhibition is a complex crowd system, providing quality service for many tourists is an important issue that managers must pay attention to. Intelligent information management system should adopt scientific and reasonable resource scheduling sche-me to improve the efficiency of the crowd...

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Bibliographic Details
Published in:Mobile networks and applications 2018-06, Vol.23 (3), p.382-394
Main Authors: Zhou, Cai-Qiu, Yang, Yu-Wang, Gong, Bei, Li, Meng-Kun, Li, Jin, Wen, Ren-Qiang
Format: Article
Language:English
Subjects:
Ant colony optimization
Communications Engineering
Computer Communication Networks
Data base management systems
Dijkstra's algorithm
Electrical Engineering
Engineering
Fairs & exhibitions
Information management
IT in Business
Mathematical models
Networks
Optimization algorithms
Resource management
Resource scheduling
Run time (computers)
Scale (ratio)
Scheduling
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Summary:Large scale exhibition is a complex crowd system, providing quality service for many tourists is an important issue that managers must pay attention to. Intelligent information management system should adopt scientific and reasonable resource scheduling sche-me to improve the efficiency of the crowd management. Through the domestic and foreign literature research, this paper points out the deficiencies in the previous research, and analyzes the process of crowd service in large-scale exhibition activities. In order to carry out the management of tourist service resources in the large scale exhibition, the concept model of mobile resource scheduling is put forward, and the detailed introduction of each dimension is presented. Multi-resource scheduling model based on Dijkstra and multi-ant colony optimization algorithms are established respectively. The advantages and disadvantages of the two algorithms are compared through the numerical examples. Dijkstra algorithm is superior to multi-ant colony optimization algorithm in the cost control, but in the running time of the algorithm, multi-ant colony optimization algorithm is better than Dijkstra algorithm. The research has practical significance for the development of scientific and effective population service operation plan and service management plan for large scale exhibition activities.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-018-1023-1