{"title":"Distributed Backlog-Driven Power Control in Wireless Networking","authors":"A. Dua, N. Bambos","doi":"10.1109/LANMAN.2007.4295968","DOIUrl":"https://doi.org/10.1109/LANMAN.2007.4295968","url":null,"abstract":"We address the problem of distributed power control for supporting packetized traffic in wireless ad hoc networks (e.g. 802.11 based wireless LANs). The interference experienced by a link coexisting with other links in a shared wireless medium is responsive to the actions of the transmitter on the link. Consequently, the evolution of seemingly independent queues at autonomously acting transmitters is tightly entangled through the shared wireless channel. Thus, an exact analysis of the distributed power control problem which also incorporates queuing dynamics is intractable. To establish a performance benchmark, we first design the optimal centralized backlog aware power control algorithm (Oracle) in a dynamic programming (DP) framework. We then propose a heuristic backlog aware distributed power control algorithm (BDD). The implementation of BDD is based on randomized selection from lookup tables which are computed offline at each transmitter. The computational complexity and memory requirements for BDD are independent of the network size and topology, making it attractive from a practical perspective. Experimental results demonstrate that BDD closely matches Oracle in performance and enhances system throughput by 20-30% compared to benchmark backlog insensitive power control algorithms (e.g. Foschini-Miljanic).","PeriodicalId":347028,"journal":{"name":"2007 15th IEEE Workshop on Local & Metropolitan Area Networks","volume":"20 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":"128892635","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}
{"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}
R. Vasudevan, Z. Morley Mao, O. Spatscheck, J. Merwe
{"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}
{"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}