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2007 15th IEEE Workshop on Local & Metropolitan Area Networks最新文献

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Dynamics of End-to-End Bandwidth Allocations in QoS-adaptive Data Connections qos自适应数据连接中端到端带宽分配的动态
Pub Date : 2007-06-10 DOI: 10.1109/LANMAN.2007.4295982
M. Rabby, K. Ravindran
The paper discusses the dynamics of bandwidth allocations that occur in an end-to-end QoS-aware data transport system over a LAN-MAN. Here, the controlled object is a logical connection that carries the application-level data flows over the service provider's data transport infrastructure. The goal is to allocate just-enough bandwidth, in order to maximize the service-provider revenues. Accurate control of bandwidth allocations with a revenue-oriented goal is quite complex, due to the interactions among various data flows that dynamically share the network capacity in the system. So, we employ an on-line monitor-and-control scheme, aided by heuristics, that iteratively adjusts the bandwidth allocation based on the observed packet loss rate. The bandwidth allocation is increased when the observed packet loss rate exceeds a user-specified threshold, with the increase being proportional to the loss rate (i.e., multiplicative increase). The bandwidth is decreased additively when the loss rate falls below a safe limit. We describe this MIAD-based bandwidth allocation scheme, and study its dynamics. When the LAN-MAN environments provide bandwidth capacities in a stable manner, our MIAD scheme can achieve an optimal bandwidth allocation (in the sense of user-level QoS and service-provider revenues).
本文讨论了LAN-MAN端到端qos感知数据传输系统中带宽分配的动态特性。这里,受控对象是一个逻辑连接,它在服务提供者的数据传输基础设施上承载应用程序级数据流。目标是分配刚好足够的带宽,以便使服务提供商的收入最大化。由于系统中动态共享网络容量的各种数据流之间的相互作用,以收益为导向的目标精确控制带宽分配是非常复杂的。因此,我们采用启发式辅助的在线监测和控制方案,根据观察到的丢包率迭代地调整带宽分配。当观察到丢包率超过用户设定的阈值时,带宽分配会增加,增加幅度与丢包率成正比(即乘增长)。当丢包率低于安全限值时,带宽会逐渐减小。本文描述了这种基于miad的带宽分配方案,并对其动态特性进行了研究。当局域网-城域网环境以稳定的方式提供带宽容量时,我们的MIAD方案可以实现最佳带宽分配(在用户级QoS和服务提供商收入的意义上)。
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引用次数: 6
Self-Similar Characteristic of Traffic in Current Metro Area Network 当前城域网通信量的自相似特性
Pub Date : 2007-06-10 DOI: 10.1109/LANMAN.2007.4295995
Guangxin Zhang, Gaogang Xie, Jianhua Yang, Dunxing Zhang, Dafang Zhang
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.
互联网流量的复杂性和多样性不断增长。网络研究人员意识到需要不断地监测和重新评估他们的假设,以确保概念模型正确地代表现实。本文利用NetTurbo收集的中国两大isp城域网中三个不同双向OC-48链路的数据集,从不同方面仔细研究了流量的自相似特征。与以往被广泛接受的结果相反,本文表明对于聚合流量和TCP、UDP流量是否存在自相似是不确定的。此外,按应用程序类别细分,只有传统和未分类的流量是自相似的,而其他流量则不是。然而,从每个类别的单个应用程序的角度来看,似乎每个应用程序的流量都表现出自相似性。据我们所知,本文首先提供了实验证据,表明聚合不同组的自相似流量序列可以生成自相似或非自相似的流量序列。
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引用次数: 11
MIDAS: An Impact Scale for DDoS attacks MIDAS: DDoS攻击的影响等级
Pub Date : 2007-06-10 DOI: 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.
我们通常有明确的分类尺度来估计自然灾害的强度和影响。突出的例子是分别测量地震和龙卷风的里氏震级和藤田震级。在本文中,我们从网络运营商的角度应用类似的思想来估计分布式拒绝服务(DDoS)攻击的影响。通过从ISP的角度评估实际造成的损害,设计这样的分类规模可以提高我们对DDoS攻击的理解,并允许比较各种缓解策略。我们设计了MIDAS,一种DDoS影响量表,基于DDoS攻击的经济影响,使用经济和网络数据进行计算。然后,我们提出了MIDAS尺度的近似值,该尺度仅依赖于易于计算的网络测量。为了证明规模的有用性,我们执行敏感性分析,以定性地验证不同攻击的规模值的大小。
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引用次数: 7
IPTV Bandwidth Demands in Metropolitan Area Networks 城域网中的IPTV带宽需求
Pub Date : 2007-06-10 DOI: 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.
本文分析了城域网在提供IPTV业务时对带宽的要求。我们发现在城域网中最有可能产生高带宽的应用是视频点播(VoD)。然而,城域网中的带宽量取决于视频服务器和缓存视频内容的位置。因此,我们开发了一个IPTV网络模型来确定缓存视频内容的最佳位置。从该模型中,我们发现城域网流量与同时请求视频点播流的用户比例的依赖关系。结果表明,未来城域网流量的很大一部分,高达90%,可能是由于这些点播视频服务。
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引用次数: 12
期刊
2007 15th IEEE Workshop on Local & Metropolitan Area Networks
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