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Coordinating Multicore Computing

  • Farhad Arbab
  • Sung-Shik T. Q. Jongmans
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9104)

Abstract

Traditional models of concurrency resort to peculiarly indirect means to express interaction and study its properties. Formalisms such as process algebras/calculi, concurrent objects, actors, shared memory, message passing, etc., all are primarily action-based models that provide constructs for the direct specification of things that interact, rather than a direct specification of interaction (protocols). Consequently, interaction in these formalisms becomes a derived or secondary concept whose properties can be studied only indirectly, as the side-effects of the (intended or coincidental) couplings or clashes of the actions whose compositions comprise a model.

Treating interaction as an explicit first-class concept, complete with its own composition operators, allows to specify more complex interaction protocols by combining simpler, and eventually primitive, protocols. Reo [4, 7, 8, 15] serves as a premier example of such an interaction-based model of concurrency. In this paper, we describe Reo and its compiler. We show how exogenous coordination in Reo reflects an interaction-centric model of concurrency where an interaction (protocol) consists of nothing but a relational constraint on communication actions. In this setting, interaction protocols become explicit, concrete, tangible (software) constructs that can be specified, verified, composed, and reused, independently of the actors that they may engage in disparate applications.

This paper complements the first author’s lecture at the \(15^{th}\) International School on Formal Methods for the Design of Computer, Communication and Software Systems in Bertinoro, Italy, June 2015, and collects previously published material (notably [9]).

Keywords

Data Item Composition Operator Sink Node Interaction Protocol Infinite Loop 
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.

References

  1. 1.
  2. 2.
    Extensible Coordination Tools home page. http://reo.project.cwi.nl/cgi-bin/trac.cgi/reo/wiki/Tools
  3. 3.
    mCRL2 home page. http://www.mcrl2.org
  4. 4.
  5. 5.
    Vereofy home page. http://www.vereofy.de/
  6. 6.
    Agha, G.: Actors: A Model of Concurrent Computation in Distributed Systems. MIT Press, Cambridge (1986)Google Scholar
  7. 7.
    Arbab, F.: Reo: a channel-based coordination model for component composition. Math. Struct. Comput. Sci. 14(3), 329–366 (2004)MathSciNetCrossRefzbMATHGoogle Scholar
  8. 8.
    Arbab, F.: Abstract behavior types: a foundation model for components and their composition. Sci. Comput. Program. 55(1–3), 3–52 (2005)MathSciNetCrossRefzbMATHGoogle Scholar
  9. 9.
    Arbab, F.: Puff, the magic protocol. In: Agha, G., Danvy, O., Meseguer, J. (eds.) Formal Modeling: Actors, Open Systems, Biological Systems. LNCS, vol. 7000, pp. 169–206. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  10. 10.
    Arbab, F., Aştefănoaei, L., de Boer, F.S., Dastani, M., Meyer, J.-J., Tinnermeier, N.: Reo connectors as coordination artifacts in 2APL systems. In: Bui, T.D., Ho, T.V., Ha, Q.T. (eds.) PRIMA 2008. LNCS (LNAI), vol. 5357, pp. 42–53. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  11. 11.
    Arbab, F., Baier, C., de Boer, F.S., Rutten, J.J.M.M.: Models and temporal logical specifications for timed component connectors. Softw. Syst. Model. 6(1), 59–82 (2007)CrossRefGoogle Scholar
  12. 12.
    Arbab, F., Chothia, T., Meng, S., Moon, Y.-J.: Component connectors with QoS guarantees. In: Murphy, A.L., Vitek, J. (eds.) COORDINATION 2007. LNCS, vol. 4467, pp. 286–304. Springer, Heidelberg (2007) CrossRefGoogle Scholar
  13. 13.
    Arbab, F., Chothia, T., van der Mei, R., Meng, S., Moon, Y.-J., Verhoef, C.: From coordination to stochastic models of QoS. In: Field and Vasconcelos [35], pp. 268–287Google Scholar
  14. 14.
    Arbab, F., Kokash, N., Meng, S.: Towards using Reo for compliance-aware business process modeling. In: Margaria, T., Steffen, B. (eds.) ISoLA 2008. CCIS, vol. 17, pp. 108–123. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  15. 15.
    Arbab, F., Mavaddat, F.: Coordination through channel composition. In: Arbab, F., Talcott, C. (eds.) COORDINATION 2002. LNCS, vol. 2315, pp. 22–39. Springer, Heidelberg (2002) CrossRefGoogle Scholar
  16. 16.
    Arbab, F., Meng, S.: Synthesis of connectors from scenario-based interaction specifications. In: Chaudron, M.R.V., Ren, X.-M., Reussner, R. (eds.) CBSE 2008. LNCS, vol. 5282, pp. 114–129. Springer, Heidelberg (2008) CrossRefGoogle Scholar
  17. 17.
    Arbab, F., Meng, S., Moon, Y.-J., Kwiatkowska, M.Z., Qu, H.: Reo2MC: a tool chain for performance analysis of coordination models. In: van Vliet, H., Issarny, V. (eds.) ESEC/SIGSOFT FSE, pp. 287–288. ACM, New York (2009)Google Scholar
  18. 18.
    Arvind, D.A., Pingali, K., Chiou, D., Sendag, R., Yi, J.: Programming multicores: do applications programmers need to write explicitly parallel programs? IEEE Micro 30(3), 19–33 (2010)CrossRefGoogle Scholar
  19. 19.
    Baeten, J.C.M., Weijland, W.P.: Process Algebra. Cambridge University Press, Cambridge (1990)CrossRefzbMATHGoogle Scholar
  20. 20.
    Baier, C.: Probabilistic models for Reo connector circuits. J. Univers. Comput. Sci. 11(10), 1718–1748 (2005)Google Scholar
  21. 21.
    Baier, C., Blechmann, T., Klein, J., Klüppelholz, S.: Formal verification for components and connectors. In: de Boer, F.S., Bonsangue, M.M., Madelaine, E. (eds.) FMCO 2008. LNCS, vol. 5751, pp. 82–101. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  22. 22.
    Baier, C., Blechmann, T., Klein, J., Klüppelholz, S.: A uniform framework for modeling and verifying components and connectors. In: Field and Vasconcelos [35], pp. 247–267Google Scholar
  23. 23.
    Baier, C., Blechmann, T., Klein, J., Klüppelholz, S., Leister, W.: Design and verification of systems with exogenous coordination using vereofy. In: Margaria, T., Steffen, B. (eds.) ISoLA 2010, Part II. LNCS, vol. 6416, pp. 97–111. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  24. 24.
    Baier, C., Klein, J., Klüppelholz, S.: Modeling and verification of components and connectors. In: Bernardo, M., Issarny, V. (eds.) SFM 2011. LNCS, vol. 6659, pp. 114–147. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  25. 25.
    Baier, C., Sirjani, M., Arbab, F., Rutten, J.J.M.M.: Modeling component connectors in Reo by constraint automata. Sci. Comput. Program. 61(2), 75–113 (2006)MathSciNetCrossRefzbMATHGoogle Scholar
  26. 26.
    Baier, C., Wolf, V.: Stochastic reasoning about channel-based component connectors. In: Ciancarini, P., Wiklicky, H. (eds.) COORDINATION 2006. LNCS, vol. 4038, pp. 1–15. Springer, Heidelberg (2006) CrossRefGoogle Scholar
  27. 27.
    Bergstra, J.A., Klop, J.W.: Process algebra for synchronous communication. Inf. Control 60, 109–137 (1984)MathSciNetCrossRefzbMATHGoogle Scholar
  28. 28.
    Blechmann, T., Baier, C.: Checking equivalence for Reo networks. Electr. Notes Theor. Comput. Sci 215, 209–226 (2008)CrossRefGoogle Scholar
  29. 29.
    Bonsangue, M.M., Clarke, D., Silva, A.: Automata for context-dependent connectors. In: Field and Vasconcelos [35], pp. 184–203Google Scholar
  30. 30.
    Bonsangue, M.M., Izadi, M.: Automata based model checking for reo connectors. In: Arbab, F., Sirjani, M. (eds.) FSEN 2009. LNCS, vol. 5961, pp. 260–275. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  31. 31.
    Clarke, D., Costa, D., Arbab, F.: Modelling coordination in biological systems. In: Margaria, T., Steffen, B. (eds.) ISoLA 2004. LNCS, vol. 4313, pp. 9–25. Springer, Heidelberg (2006) CrossRefGoogle Scholar
  32. 32.
    Clarke, D., Costa, D., Arbab, F.: Connector colouring I: Synchronisation and context dependency. Sci. Comput. Program. 66(3), 205–225 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  33. 33.
    Clarke, D., Proença, J., Lazovik, A., Arbab, F.: Channel-based coordination via constraint satisfaction. Sci. Comput. Program. 76(8), 681–710 (2011)CrossRefzbMATHGoogle Scholar
  34. 34.
    Costa, D.: Formal models for context dependent connectors for distributed software components and services. Ph.D. thesis, Vrije Universiteit Amsterdam (2010). http://dare.ubvu.vu.nl//handle/1871/16380
  35. 35.
    Field, J., Vasconcelos, V.T. (eds.): COORDINATION 2009. LNCS, vol. 5521. Springer, Heidelberg (2009) zbMATHGoogle Scholar
  36. 36.
    Fokkink, W.: Introduction to Process Algebra. Texts in Theoretical Computer Science, An EATCS Series. Springer, Berlin (1999) zbMATHGoogle Scholar
  37. 37.
    Grabe, I., Jaghoori, M.M., Aichernig, B.K., Baier, C., Blechmann, T., de Boer, F.S., Griesmayer, A., Johnsen, E.B., Klein, J., Klüppelholz, S., Kyas, M., Leister, W., Schlatte, R., Stam, A., Steffen, M., Tschirner, S., Xuedong, L., Yi, W.: Credo methodology: modeling and analyzing a peer-to-peer system in credo. Electr. Notes. Theor. Comput. Sci. 266, 33–48 (2010)CrossRefGoogle Scholar
  38. 38.
    Groote, J.F., Mathijssen, A., Reniers, M.A., Usenko, Y.S., van Weerdenburg, M.: The formal specification language mCRL2. In: Brinksma, E., Harel, D., Mader, A., Stevens, P., Wieringa, R. (eds.) MMOSS. Dagstuhl Seminar Proceedings, vol. 06351. Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany (2006)Google Scholar
  39. 39.
    Hamberg, R., Vaandrager, F.: Using model checkers in an introductory course on operating systems. Oper. Syst. Rev. 42(6), 101–111 (2008)CrossRefGoogle Scholar
  40. 40.
    Hoare, C.A.R.: Communicating Sequential Processes. Prentice-Hall, Upper Saddle River (1985)zbMATHGoogle Scholar
  41. 41.
    Izadi, M., Bonsangue, M.M., Clarke, D.: Modeling component connectors: synchronisation and context-dependency. In: Cerone, A., Gruner, S. (eds.) SEFM, pp. 303–312. IEEE Computer Society, Los Alamitos (2008)Google Scholar
  42. 42.
    Izadi, M., Bonsangue, M.M., Clarke, D.: Büchi automata for modeling component connectors. Softw. Syst. Model. 10(2), 183–200 (2011)CrossRefGoogle Scholar
  43. 43.
    Izadi, M., Movaghar, A.: Failure-based equivalence of constraint automata. Int. J. Comput. Math. 87(11), 2426–2443 (2010)MathSciNetCrossRefzbMATHGoogle Scholar
  44. 44.
    Jongmans, S.-S., Arbab, F.: Overview of thirty semantic formalisms for Reo. Sci. Ann. Comput. Sci. 22(1), 201–251 (2012)MathSciNetGoogle Scholar
  45. 45.
    Jongmans, S.-S.T.Q., Arbab, F.: Global consensus through local synchronization. In: Canal, C., Villari, M. (eds.) ESOCC 2013. CCIS, vol. 393, pp. 174–188. Springer, Heidelberg (2013) CrossRefGoogle Scholar
  46. 46.
    Jongmans, S.-S., Arbab, F.: Modularizing and specifying protocols among threads.In: Proceedings of PLACES 2012. EPTCS, vol. 109, pp. 34–45. CoRR (2013)Google Scholar
  47. 47.
    Jongmans, S.-S., Arbab, F.: Toward sequentializing overparallelized protocol code. In: Proceedings of ICE 2014. EPTCS, vol. 166, pp. 38–44. CoRR (2014)Google Scholar
  48. 48.
    Jongmans, S.-S., Arbab, F.: Can high throughput atone for high latency in compiler-generated protocol code? In: Proceedings of FSEN 2015. Springer (in press)Google Scholar
  49. 49.
    Jongmans, S.-S.T.Q., Halle, S., Arbab, F.: Automata-based optimization of interaction protocols for scalable multicore platforms. In: Kühn, E., Pugliese, R. (eds.) COORDINATION 2014. LNCS, vol. 8459, pp. 65–82. Springer, Heidelberg (2014) CrossRefGoogle Scholar
  50. 50.
    Jongmans, S.-S., Halle, S., Arbab, F.: Reo: a dataflow inspired language for multicore.In: Proceedings of DFM 2013, pp. 42–50. IEEE (2014)Google Scholar
  51. 51.
    Jongmans, S.-S., Santini, F., Arbab, F.: Partially-distributed coordination with Reo.In: Proceedings of PDP 2014, pp. 697–706. IEEE (2014)Google Scholar
  52. 52.
    Jongmans, S.-S.T.Q., Krause, C., Arbab, F.: Encoding context-sensitivity in reo into non-context-sensitive semantic models. In: De Meuter, W., Roman, G.-C. (eds.) COORDINATION 2011. LNCS, vol. 6721, pp. 31–48. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  53. 53.
    Kemper, S.: SAT-based verification for timed component connectors. Electr. Notes Theor. Comput. Sci. 255, 103–118 (2009)CrossRefGoogle Scholar
  54. 54.
    Kemper, S.: Compositional construction of real-time dataflow networks. In: Clarke, D., Agha, G. (eds.) COORDINATION 2010. LNCS, vol. 6116, pp. 92–106. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  55. 55.
    Klein, J., Klüppelholz, S., Stam, A., Baier, C.: Hierarchical modeling and formal verification. An industrial case study using reo and vereofy. In: Salaün, G., Schätz, B. (eds.) FMICS 2011. LNCS, vol. 6959, pp. 228–243. Springer, Heidelberg (2011) CrossRefGoogle Scholar
  56. 56.
    Klüppelholz, S., Baier, C.: Symbolic model checking for channel-based component connectors. Electr. Notes Theor. Comput. Sci 175(2), 19–37 (2007)CrossRefzbMATHGoogle Scholar
  57. 57.
    Koehler, C., Lazovik, A., Arbab, F.: ReoService: coordination modeling tool. In: Krämer et al. [64], pp. 625–626Google Scholar
  58. 58.
    Kokash, N., Krause, C., de Vink, E.P.: Data-aware design and verification of service compositions with Reo and mCRL2. In: SAC 2010: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 2406–2413. ACM, New York (2010)Google Scholar
  59. 59.
    Kokash, N., Arbab, F.: Formal behavioral modeling and compliance analysis for service-oriented systems. In: de Boer, F.S., Bonsangue, M.M., Madelaine, E. (eds.) FMCO 2008. LNCS, vol. 5751, pp. 21–41. Springer, Heidelberg (2009) CrossRefGoogle Scholar
  60. 60.
    Kokash, N., Arbab, F.: Applying Reo to service coordination in long-running business transactions. In: Shin, S.Y., Ossowski, S. (eds.) SAC, pp. 1381–1382. ACM, New York (2009)Google Scholar
  61. 61.
    Kokash, N., Arbab, F., Changizi, B., Makhnist, L.: Input-output conformance testing for channel-based service connectors. In: Aceto, L., Mousavi, M.R. (eds.) PACO. EPTCS, vol. 60, pp. 19–35 (2011)Google Scholar
  62. 62.
    Kokash, N., Krause, C., de Vink, E.P.: Verification of context-dependent channel-based service models. In: de Boer, F.S., Bonsangue, M.M., Hallerstede, S., Leuschel, M. (eds.) FMCO 2009. LNCS, vol. 6286, pp. 21–40. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  63. 63.
    Kokash, N., Krause, C., de Vink, E.P.: Time and data-aware analysis of graphical service models in Reo. In: Fiadeiro, J.L., Gnesi, S., Maggiolo-Schettini, A. (eds.) SEFM, pp. 125–134. IEEE Computer Society (2010)Google Scholar
  64. 64.
    Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.): ICSOC 2007. LNCS, vol. 4749. Springer, Heidelberg (2007) Google Scholar
  65. 65.
    Lazovik, A., Arbab, F.: Using Reo for service coordination.In: Krämer et al. [64], pp. 398–403Google Scholar
  66. 66.
    Meng, S., Arbab, F.: On resource-sensitive timed component connectors. In: Bonsangue, M.M., Johnsen, E.B. (eds.) FMOODS 2007. LNCS, vol. 4468, pp. 301–316. Springer, Heidelberg (2007) CrossRefGoogle Scholar
  67. 67.
    Meng, S., Arbab, F.: QoS-driven service selection and composition. In: Billington, J., Duan, Z., Koutny, M. (eds.) ACSD, pp. 160–169. IEEE (2008)Google Scholar
  68. 68.
    Milner, R. (ed.): A Calculus of Communicating Systems. LNCS, vol. 92. Springer, Heidelberg (1980) zbMATHGoogle Scholar
  69. 69.
    Milner, R.: Elements of interaction - turing award lecture. Commun. ACM 36(1), 78–89 (1993)CrossRefGoogle Scholar
  70. 70.
    Moon, Y.-J.: Stochastic models for quality of service of component connectors. Ph.D. thesis, Leiden University (2011)Google Scholar
  71. 71.
    Moon, Y.-J., Silva, A., Krause, C., Arbab, F.: A compositional semantics for stochastic Reo connectors. In: Mousavi, M.R., Salaün, G. (eds.) FOCLASA. EPTCS, vol. 30, pp. 93–107 (2010)Google Scholar
  72. 72.
    Sangiorgi, D., Walker, D.: PI-Calculus: A Theory of Mobile Processes. Cambridge University Press, New York (2001) zbMATHGoogle Scholar
  73. 73.
    Schumm, D., Turetken, O., Kokash, N., Elgammal, A., Leymann, F., van den Heuvel, W.-J.: Business process compliance through reusable units of compliant processes. In: Daniel, F., Facca, F.M. (eds.) ICWE 2010. LNCS, vol. 6385, pp. 325–337. Springer, Heidelberg (2010) CrossRefGoogle Scholar
  74. 74.
    Wegner, P.: Coordination as comstrainted interaction (extended abstract). In: Hankin, C., Ciancarini, P. (eds.) COORDINATION 1996. LNCS, vol. 1061, pp. 28–33. Springer, Heidelberg (1996) CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Formal Methods, CWIAmsterdamThe Netherlands
  2. 2.Leiden Institute for Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands

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