On the complexity of concurrency control using semantic information


In the presence of semantic information, serializability is too strong a correctness criterion and unnecessarily restricts concurrency. Many researchers have investigated the use of semantic information to allow interleaving among transactions which are non-serializable, but which nonetheless preserves the consistency of the database and is acceptable to the users. In this paper we consider a class of schedules, calledconflict-correct schedules, first proposed by Farrag and Özsu, which enlarges upon the class of serializable schedules by taking semantic information of transactions into account. In this paper we show that the problem of recognizing schedules in this class is NP-complete. Thus it is unlikely that there exists an efficient scheduler which accepts the entire class of conflict-correct schedules.

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  1. 1.

    Badrinath, B.R., Ramamritham, K.: Semantics-based concurrency control: beyond commutativity. ACM Trans. Database Syst.17 (1) 163–199 (1992)

    Google Scholar 

  2. 2.

    Berstein, P.A., Shipman, D.W. and Wong, W.S.: Formal aspects of serializability in database concurrency control. IEEE Trans. Software Eng.5 (5) 203–216 (1979)

    Google Scholar 

  3. 3.

    Casanova, M.A., Bernstein, P.A.: General purpose schedulers for database systems. Acta Inf.4 185–221 (1980)

    Google Scholar 

  4. 4.

    Eswaran, K.P., Gray, J.N., Lorie, R.A., Traiger, I.L.: The notions of consistency and predicate locks in database systems. Commun. ACM19 (11) 624–633 (1976)

    Google Scholar 

  5. 5.

    Farrag, A.A., Özsu, M.T.: Using semantic knowledge of transactions to increase concurrency. ACM Trans. Database Syst.14 (4) 503–525 (1989)

    Google Scholar 

  6. 6.

    Fischer, J.M., Griffeth, N.D., Lynch, N.A.: Global states of a distributed system. IEEE Trans. Software Eng. SE-8 (3) 198–202 (1982)

    Google Scholar 

  7. 7.

    Garcia Molina, H.: Using semantic knowledge for transaction processing in a distributed database. ACM Trans. Database Syst.8 (2) 186–213 (1983)

    Google Scholar 

  8. 8.

    Garey, M.R., Johnson, D.S.: Computers and intractability: a guide to the theory of NP-completeness. New York: S.H. Freeman 1979

    Google Scholar 

  9. 9.

    Gray, J.N.: The transaction concept: Virtues and limitations. In: Proceedings of the 7th International Conference on Very Large Data Bases, pp. 144–154, September 1981

  10. 10.

    Kung, H.T., Papadimitriou, C.H.: An optimality theory of concurrency control for databases. In: Proceedings ACM-SIGMOD International Conference on Management of Data, Boston, MA, May 30–June 1, ACM, New York, pp. 116–126, 1979

    Google Scholar 

  11. 11.

    Lynch, N.A.: Multilevel atomicity—a new correctness criterion for database concurrency control. ACM Trans. Database Syst.8 (4) 484–502 (1983)

    Google Scholar 

  12. 12.

    Papadimitriou, C.H.: The theory of database concurrency control. New York: Computer Science Press 1986

    Google Scholar 

  13. 13.

    Papadimitriou, C.H.: The serializability of concurrent database updates. J. ACM26 (4) 631–653 (1979)

    Google Scholar 

  14. 14.

    Rosenkrantz, D.J., Stearns, R.E., Lewis, P.M.: System level concurrency control for distributed database systems. ACM Trans. Database Syst.3 (2) 178–198 (1978)

    Google Scholar 

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This research was partially supported by MICRO grants with IBM and XEROX Corporations.

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Krishnaswamy, V., Bruno, J. On the complexity of concurrency control using semantic information. Acta Informatica 32, 271–284 (1995). https://doi.org/10.1007/BF01178262

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  • Information System
  • Operating System
  • Data Structure
  • Communication Network
  • Information Theory