Passive testing and applications to network management

@article{Lee1997PassiveTA,
  title={Passive testing and applications to network management},
  author={David Lee and Arun N. Netravali and Krishan K. Sabnani and Binay Sugla and Ajita John},
  journal={Proceedings 1997 International Conference on Network Protocols},
  year={1997},
  pages={113-122}
}
  • David Lee, A. Netravali, A. John
  • Published 28 October 1997
  • Computer Science
  • Proceedings 1997 International Conference on Network Protocols
An important aspect of network management is fault management-determining, locating, isolating and correcting faults in the network. The paper deals with the algorithms for detecting faults, i.e., behavior of the network different from specifications. It is important for communication networks to detect faults "in-process" i.e., while the network is in its normal operation. Thus, we detect faults by examining the input-output behavior without forcing the system to specialized inputs explicitly… 
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132 Citations
Highly Influential Citations
9
Background Citations
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Methods Citations
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Results Citations
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132 Citations

On fault location in networks by passive testing
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  • Computer Science
    Conference Proceedings of the 2000 IEEE International Performance, Computing, and Communications Conference (Cat. No.00CH37086)
  • 2000
TLDR
A variant of the communicating finite state machine (CFSM) model for networks to investigate fault detection and location using passive testing is employed, and a multiple node-cut approach for a general network is proposed.
Fault management using passive testing for mobile IPv6 networks
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This paper introduces the CFSM model, the observer model and the fault model with necessary assumptions, and introduces the fault detection algorithm using passive testing, and presents a new passive testing approach for fault location, fault identification, and fault coverage based on the C FSM model.
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TLDR
This work studies passive testing of data portions of network protocols and presents two algorithms, using an event-driven extended finite state machine model.
Network Monitoring with Real-Time Properties: A Step Forward
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This paper represents timing information in the form of time-intervals between successive occurrence of events (i.e., packets/messages exchanged among peers) in a network system with real-time properties.
Passive Testing - A Constrained Invariant Checking Approach
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This paper proposes algorithms for checking the correctness of given invariants on the specification and extracting the required constraints on the variables (data portion) and shows the applicability of the algorithm on a case study: the simple connection protocol.
A discrete event systems approach to network fault management: detection and diagnosis of faults
TLDR
This approach provides a systematic way of performing fault diagnosis for network fault management and allows the utilization of discrete event system analysis for the detection and diagnosis of faults.
Network Protocol System Passive Testing for Fault Management: A Backward Checking Approach
TLDR
A backward checking method is proposed that analyzes in a backward fashion the input/output trace from passive testing and its past and effectively checks both the control and data portion of a protocol system.
What packets may come: automata for network monitoring
TLDR
The problem of external monitoring as a language recognition problem is formulated, and a series of properties of device specifications or protocols that can be exploited to construct language recognizers at the monitor are described.
Passive mid-stream monitoring of real-time properties
TLDR
The approach is implemented using the real-time model checker UPPAAL, and its application to passively test fault tolerance software in a telecommunications switch developed at Lucent Technologies is reported on.
Network protocol system monitoring: a formal approach with passive testing
TLDR
After describing a formal model of event-driven extended finite state machines, two algorithms for passive testing of protocol system control and data portions are presented.
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