物联网节点任务负载量的非对称分配系统设计

在物联网接收数据流速度出现较大波动的情况下,会导致节点任务负载量过大,影响整个物联网的整体性能。当前分配系统大多采用负载均衡策略,忽略了节点间传输数量迅速增加的情况,导致时间延迟和能耗增加。为此,设计了一种新的物联网节点任务负载量非对称分配系统。当物联网节点接收到新的任务后,利用非对称分类策略对任务负载量进行分配,选择最佳转移服务器,以保证节点任务负载量分配过程中通信链路的稳定性,给出服务器选择过程。利用"握手"操作交换物联网节点和服务器的计算能力信息,获取物联网节点和服务器进行负载处理的具体比例,实现非对称分配。实验结果表明,所设计系统能耗和时延较低,有效带宽利用率较高。

Design of asymmetric assignment system for task load of Internet of things

in the Internet to receive data flow velocity under the condition of a larger fluctuation, will cause the node workload is too large, affecting the whole performance of the entire networking, the current distribution system mostly adopts the load balancing strategy, ignoring the number of transmission nodes increased rapidly, resulting in the increase of time delay and energy consumption. To this end, we design a new networking node task load asymmetric distribution system, when the networking node receives a new task, the task load distribution by using asymmetric classification strategy, choose the best transfer server, to ensure that the task load distribution node stability communication link in the process of the selection process is given server. The use of "handshake" operation to exchange the computing power of the Internet of things nodes and servers, get the specific proportion of the network nodes and servers for load handling, to achieve asymmetric distribution. The experimental results show that the energy consumption and time delay of the system are low, and the effective bandwidth utilization is high.