业务汇聚过程的自相似特性控制

Self-Similarity Control of the Aggregate Traffic

为了研究如何减小网络中的自相似性,提出了一种在接入线上通过划分时隙控制聚合业务形成过程的MAC层算法.该算法减小了聚合业务的自相似性,同时还结合CAC及调度算法,提供了对QoS业务的支持.仿真结果证实,时隙分配的MAC层算法无论是从聚合业务的自相似性还是对QoS业务的支持上都优于传统的业务自由竞争信道的算法.

How to reduce network self-similarity is a hot point in current network researches. A timeslot divided algorithm is proposed to reduce the self-similarity of the aggregate traffic. When cooperating with call admission control（CAC） and scheduling algorithm, quality of service （QoS） will be guaranteed. Simulation results show that our algorithm has better performance than that of traditional carrier sense multiple access（CSMA） algorithm not only in reducing self-similarity of aggregate traffic, but in QoS guarantees.