• DocumentCode
    1237548
  • Title

    On the Asymptotic Optimality of First-Fit Storage Allocation

  • Author

    Coffman, E.G., Jr. ; Kadota, T.T. ; Shepp, L.A.

  • Author_Institution
    AT& T Bell Laboratories
  • Issue
    2
  • fYear
    1985
  • Firstpage
    235
  • Lastpage
    239
  • Abstract
    Suppose requests to store files arrive at a storage facility in a Poisson stream at rate 1. Each file is allocated storage space on arrival and each remains independently for an exponential time with mean l/p. The lengths of the files are assumed to be independent with common distribution F. Each file is placed in the lowest addressed contiguous sequence of locations large enough to accommodate the fre at its arrival time. This is the so-called first-fit storage discipline. We conjecture that first-fit is asymptotically optimal in the sense that the ratio of expected empty space to expected occupied space tends to zero as p → 0, i.e., as the occupied space tends to ∞. This conjecture seems very hard to prove, but it has been proved for constant file lengths [1], i.e., when F degenerates. We are unable to prove the conjecture but give a graphic display of the results of a Monte Carlo simulation which makes it very convincing.
  • Keywords
    Analysis of algorithms; data structures; dynamic storage allocation; first-fit allocation; Application software; Data structures; Displays; Distribution functions; Graphics; Heuristic algorithms; Length measurement; Markov processes; Random variables; State-space methods; Analysis of algorithms; data structures; dynamic storage allocation; first-fit allocation;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.1985.232200
  • Filename
    1701993