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Dynamic intelligent resource allocation for emergency situations
Peer-to-Peer Networking and Applications ( IF 4.2 ) Pub Date : 2020-09-11 , DOI: 10.1007/s12083-020-00979-2
Chang Zhi-xian

When facing some emergency situations, such as fires, traffic accidents, etc., it is necessary for the network to use the available information to provide the best and fastest access routes. In these cases, it is important to centrally manage all devices throughout the network, so a software-defined network (SDN) -based architecture is used to manage and control emergency service actions and evacuation plans. At this time, differentiated services are provided to customers in emergency and non-emergency situations through network slicing, and resource allocation is performed for network slicing such as delay and bandwidth parameters. In this paper, the first resource management plan is the merit of quick converging to the global optimal solution which was used to design the evaluation function of the network resource management; the second is monitors and analyzes access traffic and centralizes control and management to meet the bandwidth requirements of tenants to counter the tidal effect. The ability of fast random search of particle swarm optimization was used to realize the update and optimization. The simulation results show that can reduce the energy consumption of the network and improve the utilization rate of cyber source at the same time.



中文翻译:

紧急情况下的动态智能资源分配

当面临火灾,交通事故等紧急情况时,网络必须使用可用信息来提供最佳和最快的访问路由。在这些情况下,集中管理整个网络中的所有设备非常重要,因此使用基于软件定义网络(SDN)的体系结构来管理和控制紧急服务行动和疏散计划。此时,通过网络切片,在紧急和非紧急情况下为客户提供差异化​​服务,并为网络切片执行资源分配,例如延迟和带宽参数。本文的第一个资源管理方案是快速收敛到全局最优解的优点,该方案用于设计网络资源管理的评估功能。第二是监视和分析访问流量,并集中控制和管理以满足租户对带宽的需求,以应对潮流的影响。利用粒子群优化的快速随机搜索能力来实现更新和优化。仿真结果表明,该方法可以降低网络能耗,同时提高网络资源的利用率。

更新日期:2020-09-12
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