TO THE QUESTION OF ESTIMATING THE PARAMETERS OF THE DYNAMIC MEMORY ALLOCATION SYSTEM

Authors

  • A. S. Yurchenko National Aviation University
  • A. P. Kozlov National Aviation University

DOI:

https://doi.org/10.18372/1990-5548.51.11708

Keywords:

Dynamic memory allocation, first-fit, best-fit, fragmentation, modeling.

Abstract

An analytical model of the dynamic memory allocation is given in this article. In addition, analytical estimates of memory fragmentation and temporal system costs are obtained, which take place in the case of segmented memory allocation. The estimates obtained are based on the well-known rule of fifty percent, described by D. Knuth.

Author Biographies

A. S. Yurchenko, National Aviation University

Candidate of Engineering. Assistant professor.
Educational & Research Institute of Information and Diagnostic Systems

A. P. Kozlov, National Aviation University

Candidate of Engineering. Assistant professor.
Educational & Research Institute of Information and Diagnostic Systems

References

P. J. Denning, “Virtual memory.” Comput. Surv. 28(4), pp. 213–216, 1996.

P. J. Denning, VIRTUAL MEMORY Naval Postgraduate School, Monterey, California January, 2008. http://denninginstitute.com/pjd/PUBS/ENC/vm08.pdf.

D. E. Knuth, “The Art of Computer Programming.” volumes 1-4A Boxed Set Hardcover. March 3, 2011.

Downloads

Issue

Vol. 1 No. 51 (2017)

Section

MATHEMATICAL MODELING OF PROCESSES AND SYSTEMS

License

Authors who publish with this journal agree to the following terms:

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).