Pub Date : 2007-06-10DOI: 10.1109/LANMAN.2007.4295978
Ronald van Haalen, R. Malhotra
TCP's interaction with a token bucket policer has been widely studied. However, it still remains a challenge to design a policer which can optimize performance irrespective of the traffic type, load and level of aggregation being policed. In this paper we propose an improvement to the token bucket policer using a dynamic bucket size. Our novel scheme presents a specific and effective way to continuously adjust the token bucket size beneficial to TCP. It does so without any knowledge of the traffic profile. Extensive simulation experimentation show that our mechanism helps TCP achieve a goodput very close to the policed rate. It is also rather insensitive to various parameter settings as opposed to other approaches in literature.
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Complexity and diversity of Internet traffic are constantly growing. Networking researchers become aware of the need to constantly monitor and reevaluate their assumptions in order to ensure that the conceptual models correctly represent reality. Using the dataset collected by NetTurbo from three different bidirectional OC-48 links in metro area networks at the two biggest ISPs of China, this paper carefully investigates the self-similar characteristics of traffic from different aspects. In contrast to the previous results which have been widely accepted, this paper shows that for the aggregated traffic and the TCP and UDP traffic whether the self-similarity exists is uncertain. Further, break down by the application category, only the traditional and uncategorized traffic are self-similar while the others are not. However, on the view of the individual application of each category, it seems that traffic of every application exhibits self-similarity. To the best of our knowledge, this paper firstly provides the experimental evidence showing that aggregating different groups of self-similar traffic series could generate a traffic series which is either self-similar or non-self-similar.
{"title":"Self-Similar Characteristic of Traffic in Current Metro Area Network","authors":"Guangxin Zhang, Gaogang Xie, Jianhua Yang, Dunxing Zhang, Dafang Zhang","doi":"10.1109/LANMAN.2007.4295995","DOIUrl":"https://doi.org/10.1109/LANMAN.2007.4295995","url":null,"abstract":"Complexity and diversity of Internet traffic are constantly growing. Networking researchers become aware of the need to constantly monitor and reevaluate their assumptions in order to ensure that the conceptual models correctly represent reality. Using the dataset collected by NetTurbo from three different bidirectional OC-48 links in metro area networks at the two biggest ISPs of China, this paper carefully investigates the self-similar characteristics of traffic from different aspects. In contrast to the previous results which have been widely accepted, this paper shows that for the aggregated traffic and the TCP and UDP traffic whether the self-similarity exists is uncertain. Further, break down by the application category, only the traditional and uncategorized traffic are self-similar while the others are not. However, on the view of the individual application of each category, it seems that traffic of every application exhibits self-similarity. To the best of our knowledge, this paper firstly provides the experimental evidence showing that aggregating different groups of self-similar traffic series could generate a traffic series which is either self-similar or non-self-similar.","PeriodicalId":347028,"journal":{"name":"2007 15th IEEE Workshop on Local & Metropolitan Area Networks","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134176538","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}
Pub Date : 2007-06-10DOI: 10.1109/LANMAN.2007.4295999
R. Vasudevan, Z. Morley Mao, O. Spatscheck, J. Merwe
We usually have well-defined classification scales to estimate the intensity and impact of natural disasters. Prominent examples are the Richter and the Fujita scales for measuring earthquakes and tornadoes respectively. In this paper, we apply similar ideas to estimate the impact of distributed denial of service (DDoS) attacks from the perspective of network operators. Devising such a classification scale improves our understanding of DDoS attacks by assessing the actual damage incurred from an ISP's perspective, and allows comparison of various mitigation strategies. We have designed MIDAS, a DDoS impact scale, based on the economic impact of a DDoS attack, calculated using economic and network data. We then present an approximation of the MIDAS scale that relies only on network measurements for ease of computation. To demonstrate the usefulness of the scale, we perform sensitivity analysis to qualitatively validate the magnitude of the scale value for diverse attacks.
{"title":"MIDAS: An Impact Scale for DDoS attacks","authors":"R. Vasudevan, Z. Morley Mao, O. Spatscheck, J. Merwe","doi":"10.1109/LANMAN.2007.4295999","DOIUrl":"https://doi.org/10.1109/LANMAN.2007.4295999","url":null,"abstract":"We usually have well-defined classification scales to estimate the intensity and impact of natural disasters. Prominent examples are the Richter and the Fujita scales for measuring earthquakes and tornadoes respectively. In this paper, we apply similar ideas to estimate the impact of distributed denial of service (DDoS) attacks from the perspective of network operators. Devising such a classification scale improves our understanding of DDoS attacks by assessing the actual damage incurred from an ISP's perspective, and allows comparison of various mitigation strategies. We have designed MIDAS, a DDoS impact scale, based on the economic impact of a DDoS attack, calculated using economic and network data. We then present an approximation of the MIDAS scale that relies only on network measurements for ease of computation. To demonstrate the usefulness of the scale, we perform sensitivity analysis to qualitatively validate the magnitude of the scale value for diverse attacks.","PeriodicalId":347028,"journal":{"name":"2007 15th IEEE Workshop on Local & Metropolitan Area Networks","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124802069","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}
Pub Date : 2007-06-10DOI: 10.1109/LANMAN.2007.4295971
J. Simsarian, M. Duelk
In this paper, we analyze the bandwidth requirements in Metropolitan Area Networks (MANs) for providing Internet Protocol Television (IPTV) services. We find that the application with the potential to generate high bandwidth in the MAN is Video on Demand (VoD). However, the amount of bandwidth in the MAN depends on the location of the video servers and cached video content. Therefore, we develop a model of the IPTV network to determine the optimum location of the cached video content. From this model, we find the dependence of the MAN traffic on the fraction of users simultaneously requesting VoD streams. The results show that a significant fraction of future MAN traffic, up to 90%, may be due to these on-demand video services.
{"title":"IPTV Bandwidth Demands in Metropolitan Area Networks","authors":"J. Simsarian, M. Duelk","doi":"10.1109/LANMAN.2007.4295971","DOIUrl":"https://doi.org/10.1109/LANMAN.2007.4295971","url":null,"abstract":"In this paper, we analyze the bandwidth requirements in Metropolitan Area Networks (MANs) for providing Internet Protocol Television (IPTV) services. We find that the application with the potential to generate high bandwidth in the MAN is Video on Demand (VoD). However, the amount of bandwidth in the MAN depends on the location of the video servers and cached video content. Therefore, we develop a model of the IPTV network to determine the optimum location of the cached video content. From this model, we find the dependence of the MAN traffic on the fraction of users simultaneously requesting VoD streams. The results show that a significant fraction of future MAN traffic, up to 90%, may be due to these on-demand video services.","PeriodicalId":347028,"journal":{"name":"2007 15th IEEE Workshop on Local & Metropolitan Area Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124859911","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}
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