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Precision, Recall, and Sensitivity of Monitoring Partially Synchronous Distributed Systems

  • Sorrachai YingchareonthawornchaiEmail author
  • Duong N. Nguyen
  • Vidhya Tekken Valapil
  • Sandeep S. Kulkarni
  • Murat Demirbas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10012)

Abstract

Runtime verification focuses on analyzing the execution of a given program by a monitor to determine if it is likely to violate its specifications. There is often an impedance mismatch between the assumptions/model of the monitor and that of the underlying program. This constitutes problems especially for distributed systems, where the concept of current time and state are inherently uncertain. A monitor designed with asynchronous system model assumptions may cause false-positives for a program executing in a partially synchronous system: the monitor may flag a global predicate that does not actually occur in the underlying system. A monitor designed with a partially synchronous system model assumption may cause false negatives as well as false positives for a program executing in an environment where the bounds on partial synchrony differ (albeit temporarily) from the monitor model assumptions.

In this paper we analyze the effects of the impedance mismatch between the monitor and the underlying program for the detection of conjunctive predicates. We find that there is a small interval where the monitor assumptions are hypersensitive to the underlying program environment. We provide analytical derivations for this interval, and also provide simulation support for exploring the sensitivity of predicate detection to the impedance mismatch between the monitor and the program under a partially synchronous system.

Keywords

False Positive Rate Linear Temporal Logic Clock Synchronization Impedance Mismatch Asynchronous System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work is supported in part by NSF CNS-1329807, NSF CNS-1318678, NSF XPS-1533870, and NSF XPS-1533802.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Sorrachai Yingchareonthawornchai
    • 1
    Email author
  • Duong N. Nguyen
    • 1
  • Vidhya Tekken Valapil
    • 1
  • Sandeep S. Kulkarni
    • 1
  • Murat Demirbas
    • 2
  1. 1.Department of Computer Science and EngineeringMichigan State UniversityEast LansingUSA
  2. 2.Department of Computer Science and EngineeringUniversity at Buffalo, The State University of New YorkBuffaloUSA

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