Advertisement

Trace Checking of Metric Temporal Logic with Aggregating Modalities Using MapReduce

  • Domenico Bianculli
  • Carlo Ghezzi
  • Srđan Krstić
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8702)

Abstract

Modern complex software systems produce a large amount of execution data, often stored in logs. These logs can be analyzed using trace checking techniques to check whether the system complies with its requirements specifications. Often these specifications express quantitative properties of the system, which include timing constraints as well as higher-level constraints on the occurrences of significant events, expressed using aggregate operators.

In this paper we present an algorithm that exploits the MapReduce programming model to check specifications expressed in a metric temporal logic with aggregating modalities, over large execution traces. The algorithm exploits the structure of the formula to parallelize the evaluation, with a significant gain in time. We report on the assesment of the implementation—based on the Hadoop framework—of the proposed algorithm and comment on its scalability.

Keywords

Temporal Logic Execution Trace MapReduce Framework Hadoop MapReduce Reduce Task 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Alur, R., Dill, D.L.: A theory of timed automata. Theoreotical Computer Science 126(2), 183–235 (1994)CrossRefzbMATHMathSciNetGoogle Scholar
  2. 2.
    Apache Software Foundation: Hadoop MapReduce, http://hadoop.apache.org/mapreduce/
  3. 3.
    Barre, B., Klein, M., Soucy-Boivin, M., Ollivier, P.-A., Hallé, S.: MapReduce for parallel trace validation of LTL properties. In: Qadeer, S., Tasiran, S. (eds.) RV 2012. LNCS, vol. 7687, pp. 184–198. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  4. 4.
    Bellettini, C., Camilli, M., Capra, L., Monga, M.: Distributed CTL model checking in the cloud. Tech. Rep. 1310.6670, Cornell University (October 2013), http://arxiv.org/abs/1310.6670
  5. 5.
    Bersani, M.M., Bianculli, D., Ghezzi, C., Krstić, S., San Pietro, P.: SMT-based checking of SOLOIST over sparse traces. In: Gnesi, S., Rensink, A. (eds.) FASE 2014. LNCS, vol. 8411, pp. 276–290. Springer, Heidelberg (2014)Google Scholar
  6. 6.
    Bianculli, D., Ghezzi, C., Krstić, S.: Trace checking of metric temporal logic with aggregating modalities using MapReduce (2014) (extended version), http://hdl.handle.net/10993/16806
  7. 7.
    Bianculli, D., Ghezzi, C., Krstić, S., San Pietro, P.: From SOLOIST to CLTLB(\(\mathcal{D}\)): Checking quantitative properties of service-based applications. Tech. Rep. 2013.26, Politecnico di Milano - Dipartimento di Elettronica, Informazione e Bioingegneria (October 2013)Google Scholar
  8. 8.
    Bianculli, D., Ghezzi, C., Pautasso, C., Senti, P.: Specification patterns from research to industry: a case study in service-based applications. In: Proc. of ICSE 2012, pp. 968–976. IEEE Computer Society (2012)Google Scholar
  9. 9.
    Bianculli, D., Ghezzi, C., San Pietro, P.: The tale of SOLOIST: a specification language for service compositions interactions. In: Păsăreanu, C.S., Salaün, G. (eds.) FACS 2012. LNCS, vol. 7684, pp. 55–72. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  10. 10.
    Cugola, G., Margara, A.: Complex event processing with T-REX. J. Syst. Softw. 85(8), 1709–1728 (2012)CrossRefGoogle Scholar
  11. 11.
    Dean, J., Ghemawat, S.: MapReduce: Simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)CrossRefGoogle Scholar
  12. 12.
    Dwyer, M.B., Avrunin, G.S., Corbett, J.C.: Property specification patterns for finite-state verification. In: Proc. of FMSP 1998, pp. 7–15. ACM (1998)Google Scholar
  13. 13.
    Felder, M., Morzenti, A.: Validating real-time systems by history-checking TRIO specifications. ACM Trans. Softw. Eng. Methodol. 3(4), 308–339 (1994)CrossRefGoogle Scholar
  14. 14.
    Lerda, F., Sisto, R.: Distributed-memory model checking with SPIN. In: Dams, D., Gerth, R., Leue, S., Massink, M. (eds.) SPIN 1999. LNCS, vol. 1680, pp. 22–39. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  15. 15.
    Mrad, A., Ahmed, S., Hallé, S., Beaudet, É.: Babeltrace: A collection of transducers for trace validation. In: Qadeer, S., Tasiran, S. (eds.) RV 2012. LNCS, vol. 7687, pp. 126–130. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  16. 16.
    Pradella, M., Morzenti, A., San Pietro, P.: Bounded satisfiability checking of metric temporal logic specifications. ACM Trans. Softw. Eng. Methodol. 22(3), 20:1–20:54 (2013)Google Scholar
  17. 17.
    Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: XES, XESame, and ProM 6. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 60–75. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Domenico Bianculli
    • 1
  • Carlo Ghezzi
    • 2
  • Srđan Krstić
    • 2
  1. 1.SnT CentreUniversity of LuxembourgLuxembourg
  2. 2.DEEP-SE group - DEIBPolitecnico di MilanoItaly

Personalised recommendations