OATES, T. Fault identification in computer network A review and a new approach . Technical Report UM-CS-1995-113, University of Massachusetts, Amherst, Computer Science. Home/Search Document Details and Download
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Towards Autonomic Computing: Effective Event Management - Sterritt (2002) (Correct)
....with the environment to facilitate an Autonomic Computing system particular fault management, to facilitate the discussion on lessons for Autonomic Computing. As the world becomes increasingly reliant on computer networks the complexity of the networks has grown along a number of dimensions [8]. The phenomenal growth of the Internet has shown a clear example of the extent to which the use of computer networks is becoming ubiquitous [9] As users demands and expectations on networks become more varied and complex so do the networks themselves. As such, heterogeneity has become the rule ....
....of the Internet has shown a clear example of the extent to which the use of computer networks is becoming ubiquitous [9] As users demands and expectations on networks become more varied and complex so do the networks themselves. As such, heterogeneity has become the rule rather than the exception [8]. Data, in any form, voice, movie, or actual information, may travel under the control of different protocols through numerous physical devices manufactured and operated by large numbers of different vendors. There is a general consensus, in dealing with such data, the trend towards increasing ....
T. Oates. Fault identification in computer networks: A review and a new approach. Technical Report 95-113, University of Massachusetts at Amherst, Computer Science Department, 1995.
A Family of Algorithms for Finding Temporal Structure in.. - Oates, Schmill, Jensen.. (1997) (8 citations) Self-citation (Oates) (Correct)
....include time series of economic indicators, distributed network status reports, and continuous streams such as flight recorder data. We have developed a family of algorithms for finding structure in multivariate, discrete valued time series data (Oates Cohen 1996b; Oates, Schmill, Cohen 1996; Oates et al. 1995). In this paper, we introduce a new member of that family for handling event based data, and offer an empirical characterization of a time series based algorithm. 1 Introduction Dependency detection is an approach to finding patterns in time series or event data based on locating unexpectedly ....
....large amounts of event based data, and management of such networks is largely driven by the generation and interpretation of events. A problem that plagues network managers is the large number of events of different types from disparate locations in the network that result from network faults (Oates 1995). Finding patterns in those events to form clusters of related events is important for reducing the amount of information that must be interpreted and 1 This research is supported by DARPA RL F30602 93 C 0076, and by a subcontract from Hughes Information Technology Corp.RFQ 96 ECS UMass 001. ....
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Oates, T. 1995. Fault identification in computer networks: A review and a new approach. Technical Report 95-113, University of Massachusetts at Amherst, Computer Science Department.
Parallel and Distributed Search for Structure in.. - Oates, Schmill, Cohen (1996) (3 citations) Self-citation (Oates) (Correct)
....changes that the agent can reliably bring about. Second, we are using msdd to learn how current and past states of computer networks are related to future states for the purpose of acquiring rules that will allow network managers to predict and avoid problems in their networks before they arise [4]. Acknowledgements This research was supported by ARPA Rome Laboratory under contract numbers F3060291 C 0076 and F30602 93 0100, and by a National Defense Science and Engineering Graduate Fellowship. The U.S. Government is authorized to reproduce and distribute reprints for governmental ....
Tim Oates. Fault identification in computer networks: A review and a new approach. Technical Report 95-113, University of Massachusetts at Amherst, Computer Science Department, 1995.
Observations Et Analyses Quantitatives Multi-Niveaux.. - Ottogalli (2001) (Correct)
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OATES, T. Fault identification in computer network A review and a new approach . Technical Report UM-CS-1995-113, University of Massachusetts, Amherst, Computer Science.
Autonomic Computing Correlation for Fault Management.. - Sterritt, Bustard.. (2003) (Correct)
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T. Oates. Fault identification in computer networks: A review and a new approach. Technical Report 95-113, University of Massachusetts at Amherst, Computer Science Department, 1995.
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