Browsing by Author "Diot, Christophe"

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Browsing by Author "Diot, Christophe"

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  • Analysis of OD Flows (Raw Data)
    Lakhina, Anukool; Papagiannaki, Konstantina; Crovella, Mark; Diot, Christophe; Kolaczyk, Eric D.; Taft, Nina (Boston University Computer Science Department, 2003-11-20)
    In a recent paper, Structural Analysis of Network Traffic Flows, we analyzed the set of Origin Destination traffic flows from the Sprint-Europe and Abilene backbone networks. This report presents the complete set of results ...
  • Characterization of Network-Wide Anomalies in Traffic Flows
    Lakhina, Anukool; Crovella, Mark; Diot, Christophe (Boston University Computer Science Department, 2004-05-19)
    Detecting and understanding anomalies in IP networks is an open and ill-defined problem. Toward this end, we have recently proposed the subspace method for anomaly diagnosis. In this paper we present the first large-scale ...
  • Diagnosing Network-Wide Traffic Anomalies
    Lakhina, Anukool; Crovella, Mark; Diot, Christophe (Boston University Computer Science Department, 2004-02-24)
    Anomalies are unusual and significant changes in a network's traffic levels, which can often involve multiple links. Diagnosing anomalies is critical for both network operators and end users. It is a difficult problem ...
  • Diversity of Forwarding Paths in Pocket Switched Networks
    Erramilli, Vijay; Chaintreau, Augustin; Crovella, Mark; Diot, Christophe (Boston University Computer Science Department, 2007)
    Forwarding in DTNs is a challenging problem. We focus on the specific issue of forwarding in an environment where mobile devices are carried by people in a restricted physical space (e.g. a conference) and contact patterns ...
  • Mining Anomalies Using Traffic Feature Distributions
    Lakhina, Anukool; Mark, Crovella; Diot, Christophe (Boston University Computer Science Department, 2005-10-05)
    The increasing practicality of large-scale flow capture makes it possible to conceive of traffic analysis methods that detect and identify a large and diverse set of anomalies. However the challenge of effectively analyzing ...
  • On the Convergence of Statistical Techniques for Inferring Network Traffic Demands
    Medina, Alberto; Salamatian, Kave; Taft, Nina; Matta, Ibrahim; Tsang, Yolanda; Diot, Christophe (Boston University Computer Science Department, 2003-02-06)
    Accurate knowledge of traffic demands in a communication network enables or enhances a variety of traffic engineering and network management tasks of paramount importance for operational networks. Directly measuring a ...
  • Structural Analysis of Network Traffic Flows
    Lakhina, Anukool; Papagiannaki, Konstantina; Crovella, Mark; Diot, Christophe; Koloczyk, Eric D.; Taft, Nina (Boston University Computer Science Department, 2003-11-10)
    Network traffic arises from the superposition of Origin-Destination (OD) flows. Hence, a thorough understanding of OD flows is essential for modeling network traffic, and for addressing a wide variety of problems including ...