基于雾计算的负载均衡策略

Load balancing strategy based on fog computing

针对异构网络结构下微小区间负载不均衡问题,提出了一种基于雾计算的负载均衡策略。根据信干噪比判断较高负载微小区内通信质量较差的转移用户,通过用户对时延和能耗的意愿,建立相应的中继链路,从而把转移用户卸载到较低负载微小区。然后,依据微基站负载值,并考虑到各个用户对能耗和时延的意愿,给出了一种微基站负载均衡的优化策略。仿真结果表明,与速率均衡算法相比,本文的负载均衡策略能有效地降低系统能耗和时延,并降低了数据直传通信导致的路径损耗系统性能。

To solve the problem of small interval load imbalance under heterogeneous network structure, a load balancing strategy based on fog calculation is proposed. According to this strategy , firstly the transfer user with poor communication quality in the high-load micro-region is identified based on the signal-to-noise ratio, a corresponding relay link is then established according to the user's willingness of delay and energy consumption so that the transfer user can be offloaded to the lower-load micro-cell. Secondly, according to the load value of the micro base station and the willingness of each user on consume energy and delay, an optimization strategy for load balancing of the micro base station is provided. Simulation results show that compared with the rate-balancing algorithm, the load balancing strategy in this paper can effectively reduce the system energy consumption and delay, and reduce the path loss system performance caused by data direct communication.