ISP and commercial networks are complex and thus difficult to characterise and manage. Network operators rely on a continuous flow of event log messages to identify and handle service outages. However, there is little published information about such events and how they are typically exploited. In this paper, we describe in as much detail as possible the event logs and network topology of a major commercial network. Through analysing the network topology, textual information of events and time of events, we highlight opportunities and challenges brought by such data. In particular, we suggest that the development of methods for inferring functional connectivity could unlock more of the informational value of event log messages and assist network management operators.
机构:
New York Univ Langone Med Ctr, New York, NY 10016 USA
Nathan S Kline Inst Psychiat Res, Orangeburg, NY USAUniv Miami, Miller Sch Med, Dept Neurol, 1120 NW 14th St,Room 1324, Miami, FL 33136 USA
Scharfman, Helen
Jette, Nathalie
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机构:
Icahn Sch Med Mt Sinai, Dept Neurol, New York, NY 10029 USA
Univ Calgary, Dept Clin Neurosci, Calgary, AB, CanadaUniv Miami, Miller Sch Med, Dept Neurol, 1120 NW 14th St,Room 1324, Miami, FL 33136 USA
Jette, Nathalie
Anagnostou, Evdokia
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机构:
Holland Bloorview Kids Rehabil Hosp, Bloorview Res Inst, 150 Kilgour Rd, Toronto, ON M4G 1R8, CanadaUniv Miami, Miller Sch Med, Dept Neurol, 1120 NW 14th St,Room 1324, Miami, FL 33136 USA
Anagnostou, Evdokia
Bernard, Christophe
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机构:
Aix Marseille Univ, INSERM, NS Inst Neurosci Syst, UMR 1106,Equipe Physionet, 27 Bd Jean Moulin, F-13385 Marseille 05, FranceUniv Miami, Miller Sch Med, Dept Neurol, 1120 NW 14th St,Room 1324, Miami, FL 33136 USA