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作 者:李靖波[1,2] 张光胜[3] 徐振阳[3] 窦文华[3]
机构地区:[1]湖南大学期刊社,湖南长沙410082 [2]湖南省计算机学会,湖南长沙410012 [3]国防科技大学计算机学院,湖南长沙410073
出 处:《湖南大学学报(自然科学版)》2010年第2期64-69,共6页Journal of Hunan University:Natural Sciences
基 金:国家973重点基础研究发展规划(2007AA01Z429);国家自然科学基金重点资助项目(60633020)
摘 要:传统的接纳控制算法中,基于参数的接纳控制提供严格的QoS保证但带宽利用率和接纳率低,基于测量的接纳控制具有较好的动态特征和适应性但对模型有较严格的要求,并且未考虑网络流量的自相似特性.本文根据网络流量自相似特性,将基于参数的接纳控制与基于测量的接纳控制方法相结合,提出了基于测量的自相似接纳控制算法和基于自相似测量的自适应接纳控制算法.仿真结果表明,该算法能够提高自相似网络流量环境下的接纳率和平均带宽利用率.Self-similarity is not considered in the traditional Call Admission control Algorithms, such as Admission Control based on parameters and Admission Control based on measurement. Admission Control based on parameters often provides the strictest QoS gurantee with lowest admission ratio and worst bandwidth usage. Admission Control based on measurement considers the dynamic changes of network traffic with better admission ratio and bandwidth usage. Taking advantage of the self-similarity character, and combining the admission control algorithm based on parameters with that based on measurement, the admission control algorithms based on measurement with self-similarity character and the adaptive admission control algorithm based measurement were proposed. The extensive simulations have shown that the algorithms can improve admission ratio and average bandwidth usage.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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