Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000最新文献_第2页

Real-time performance analysis for linear token passing bus networks 线性令牌传递总线网络的实时性能分析

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891026

Z. Qiang, Luo Zhiqiang, Xiong Huagang, L. Qiao

引用次数: 2

A comparative survey of synchronization algorithms for continuous media in network environments 网络环境下连续介质同步算法的比较研究

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891066

Y. Ishibashi, S. Tasaka

引用次数: 66

Algorithms for the minimal cutsets enumeration of networks by graph search and branch addition 基于图搜索和分支加法的网络最小割集枚举算法

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891015

Heejong Suh, Carl K. Chang

引用次数: 16

Multi-cores uni-directional shared trees multicast routing protocol 多核单向共享树组播路由协议

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891089

Yulu Ma, Shiduan Cheng

引用次数: 1

Generalized autoregressive moving average modeling of the Bellcore data Bellcore数据的广义自回归移动平均模型

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891112

Rajalakshmi Ramachandran, V. Bhethanabotla

{"title":"Generalized autoregressive moving average modeling of the Bellcore data","authors":"Rajalakshmi Ramachandran, V. Bhethanabotla","doi":"10.1109/LCN.2000.891112","DOIUrl":"https://doi.org/10.1109/LCN.2000.891112","url":null,"abstract":"Generalized autoregressive moving average (GARMA) models are fitted to the Leland et al. (1994) Bellcore Ethernet trace data. We find the time series to have long memory. In addition, we find evidence for self-similarity, as was also found in earlier studies. Our GARMA analysis shows the time series m-aggregated at 0.01, 10, 100 and 1000 seconds to be non-stationary. However, the first differences of these series are found to be stationary by the same analysis, and are represented well by GARMA models. Unlike in earlier studies, our estimation methodology can be extended to forecast the time series. We present GARMA model forecasts for the first difference of the m-aggregated data at 100, and compare with ARIMA forecasts. The fitted GARMA(0,0) model forecast is very good and tracks both the level and pattern in the time series with a negligible 95% confidence interval of 0.02. The ARIMA(15,1,5) model can track neither the level nor the pattern, and has a 95% confidence interval of 0.86 (nearly the same magnitude of the time series data) for the same 1000 predicted points. The fitted GARMA(0,0) model utilizes 4 parameters versus 23 for the ARIMA(15,1,5) model. The autocorrelation and partial autocorrelation functions indicate a very large number of parameters for the ARIMA model. Based on the similarity of the spectra of the time series data m-aggregated at various levels, we can expect similar quality of forecasts for those series using the GARMA framework.","PeriodicalId":369604,"journal":{"name":"Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126770969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

A methodology for performance management of networks 网络性能管理的方法论

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891082

Á. Drago, A. Garcia, M. Monteiro

引用次数: 3

TCP tunnels: avoiding congestion collapse TCP隧道:避免拥塞崩溃

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891077

Boon Peng Lee, R. Balan, L. Jacob, Winston K.G. Seah, A. Ananda

{"title":"TCP tunnels: avoiding congestion collapse","authors":"Boon Peng Lee, R. Balan, L. Jacob, Winston K.G. Seah, A. Ananda","doi":"10.1109/LCN.2000.891077","DOIUrl":"https://doi.org/10.1109/LCN.2000.891077","url":null,"abstract":"This paper examines the attributes of TCP tunnels which are TCP circuits that carry IP packets and benefit from the congestion control mechanism of TCP/IP. The deployment of TCP tunnels reduces the many flows situation on the Internet to that of a few flows. TCP tunnels eliminate unnecessary packet loss in the core routers of the congested backbones which waste precious bandwidth leading to congestion collapse due to unresponsive UDP flows. We also highlight that the use of TCP tunnels can, in principle, help prevent certain forms of congestion collapse described by Floyd & Fall (see IEEE/ACM Transactions on Networking, vol.7, no.4, p.458-72, 1999). Using a testbed often Intel PCs running the Linux operating system and traffic generators simulating user applications, we explore: the benefits which TCP tunnels confer upon its payload of user IP traffic; the impact on the congestion within network backbones, and the protection that tunnels offer with respect to the various competing classes of traffic in terms of bandwidth allocation and reduced retransmissions. The deployment of TCP tunnels on the Internet and the issues involved are also discussed and we conclude that with the RFC2309 recommendation of using random early drop (RED) as the default packet-drop policy in Internet routers, coupled with the implementation of a pure tunnel environment on backbone networks makes the deployment of TCP tunnels a feasible endeavour worthy of further investigation.","PeriodicalId":369604,"journal":{"name":"Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

ATM network connection management using mobile agents ATM网络连接管理使用移动代理

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891108

Sashi Lazar, S. B. Kodeswaran, Rekuram Varadharaj, D. Sidhu

引用次数: 3

Mobile stations localization in a WLAN 无线局域网中移动站的定位

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891019

F. Peyrard, C. Soutou, J. Mercier

引用次数: 9

Hierarchical QoS routing in delay-bandwidth sensitive networks 时延带宽敏感网络中的分层QoS路由

Proceedings 25th Annual IEEE Conference on Local Computer Networks. LCN 2000 Pub Date : 2000-11-08 DOI: 10.1109/LCN.2000.891103

K. Lui, K. Nahrstedt, Shigang Chen

引用次数: 41