第21届IEEE计算机通信年会(INFOCOM2002)于2002年6月23日至27日在美国纽约召开。该会议是IEEE计算机学会和通信学会学术水平最高的联合会议,在计算机网络及通信领域具有非常大的影响力。会上,AT&T实验室研究员Paul S.Henry博士作了...第21届IEEE计算机通信年会(INFOCOM2002)于2002年6月23日至27日在美国纽约召开。该会议是IEEE计算机学会和通信学会学术水平最高的联合会议,在计算机网络及通信领域具有非常大的影响力。会上,AT&T实验室研究员Paul S.Henry博士作了关于当前热门无线网络技术——Wi-Fi的主题报告。目前无线局域网(Wireless Local AreaNetwork,WLAN)标准主要采用基于802.11协议的系列标准。展开更多
It is very im portant to analyze network traffic in the network control and management. In thi s paper, extreme value theory is first introduced and a model with threshold met hods is proposed to analyze the character...It is very im portant to analyze network traffic in the network control and management. In thi s paper, extreme value theory is first introduced and a model with threshold met hods is proposed to analyze the characteristics of network traffic. In this mode l, only some traffic data that is greater than threshold value is considered. Th en the proposed model with the trace is simulated by using S Plus software. The modeling results show the network traffic model constructed from the extreme va lue theory fits well with that of empirical distribution. Finally, the extreme v alue model with the FARIMA(p,d,q) modeling is compared. The anal ytical results illustrate that extreme value theory has a good application foreg round in the statistic analysis of network traffic. In addition, since only some traffic data which is greater than the threshold is processed, the computation overhead is reduced greatly.展开更多
文摘第21届IEEE计算机通信年会(INFOCOM2002)于2002年6月23日至27日在美国纽约召开。该会议是IEEE计算机学会和通信学会学术水平最高的联合会议,在计算机网络及通信领域具有非常大的影响力。会上,AT&T实验室研究员Paul S.Henry博士作了关于当前热门无线网络技术——Wi-Fi的主题报告。目前无线局域网(Wireless Local AreaNetwork,WLAN)标准主要采用基于802.11协议的系列标准。
文摘It is very im portant to analyze network traffic in the network control and management. In thi s paper, extreme value theory is first introduced and a model with threshold met hods is proposed to analyze the characteristics of network traffic. In this mode l, only some traffic data that is greater than threshold value is considered. Th en the proposed model with the trace is simulated by using S Plus software. The modeling results show the network traffic model constructed from the extreme va lue theory fits well with that of empirical distribution. Finally, the extreme v alue model with the FARIMA(p,d,q) modeling is compared. The anal ytical results illustrate that extreme value theory has a good application foreg round in the statistic analysis of network traffic. In addition, since only some traffic data which is greater than the threshold is processed, the computation overhead is reduced greatly.
