【作者】 刘伟荣； 易建强； 赵冬斌； 文庭永；

【Author】 LIU Wei-rong , YI Jian-qiang , ZHAO Dong-bin, WEN Ting-yong (Institute of Automation, Chinese Academy of Sciences. Beijing 100080, China;Rensselaer Polytechnic Institute, Department of Electrical, Computer and Systems Engineering, New York 12180, USA.

【机构】 中国科学院自动化研究所； 伦塞利尔理工学院电子计算机与系统工程系；

【摘要】 从Kelly的公平性模型出发,针对Kelly模型使用的primal算法存在的队列累积问题,提出了使用启发式的模糊控制规则调节primaI算法中的和性增加系数．通过使用该方法,使网络在稳定状态时,各个终端主机所发出的数据量总和与网络瓶颈链路的带宽相同,同时保证各个终端主机能够公平共享带宽．仿真结果表明该模糊控制机制能够较好达到设计要求．更多还原

【Abstract】 Based on optimal theory, Kelly model realizes the proportional fairness and the asymptotically stability. However, the primal algorithm of Kelly model leads to the packets accumulation in the queue of the bottle link. By using heuristic fuzzy rule, it designs a fuzzy controller to adjust the additive increase parameter of the primal algorithm. The primal algorithm with the fuzzy controller can let the aggregate data flow equate to the bandwidth of the bottle link and avoid the accumulation in queue. It also keeps the fairness and asymptotically stability. The simulation validates the feasibility and adaptability of our fuzzy controller.更多还原