Title :
Commercial Resource Management Model Optimization under Virtual Network Environment
Author_Institution :
Shanghai Univ. of Political Sci. & Law, Shanghai, China
Abstract :
The running business in commercial virtual network is changing with time, while the resource utilization of physical network is updated by the change of time. Though static resource distribution among the virtual network is simple, its efficiency is rather low. So it is a potential way to support diverse applications to support diverse applications, when running customized virtual network on a shared bottom serviced for multiple business. We emphasis on the dynamic distribution of resource according to the change of supply and demand under virtual environment. Optimization theory is adopted to model for resource distribution among the virtual work. Then acquire dynamic change data based on sensing technology are used to adjust the allocation of dynamic resource. In the small time scales in each period, each virtual network independently runs customized maximized traffic management protocols of its own performance objectives, to keep the stability of network. Finally the dynamic resource distribution scheme is simulated and compared to static resource distribution methods for evaluation.
Keywords :
business data processing; computer network management; data acquisition; optimisation; resource allocation; virtualisation; commercial resource management model optimization; customized maximized traffic management protocols; diverse applications; dynamic change data acquisition; dynamic resource allocation; dynamic resource distribution; network stability; optimization theory; performance objectives; resource utilization; running business; sensing technology; static resource distribution; supply and demand; virtual network environment; virtual work; Automation; Mechatronics; QoS; distribution; resource; virtual network;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
DOI :
10.1109/ICMTMA.2014.47