Skip to main content

A Classical Model for Storage System Activity

  • Chapter
  • First Online:
Mathematical Adventures in Performance Analysis
  • 915 Accesses

Abstract

We consider the problem of estimating the utilization of a disk drive using very coarse input data. We use an estimate which is based on a very simplistic probabilistic model of user activity. We show that the estimate is conservative in the sense that it is not far from being a worst case estimate. We also show that it is pessimistic in the sense that adding input data makes the estimate more optimistic (smaller utilization). These properties are shown using an analysis based on some basic results on metric spaces.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arnan, R., Bachmat, E., Lam, T.K., Michel, R.: Dynamic data reallocation in disk arrays. ACM Trans. Storage 3(1), 2 (2007)

    Article  Google Scholar 

  2. Avis, D.: From Bell inequalities to Tsirelson’s theorem. In: Proceedings of the International Workshop on Combinatorics, Yokohama (2007)

    Google Scholar 

  3. Bachmat, E., Lam, T.K., Magen, A.: Analysis of set-up time models: a metric perspective. Theor. Comput. Sci. 401(1–3), 172–180 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  4. Coffman, E.G., Denning, P.J.: Operating Systems Principles. Prentice Hall, Upper Saddle River (1972)

    Google Scholar 

  5. Enders, D.M., Schindelin, J.E.: A new metric for probability distributions. IEEE Trans. Inf. Theory 49(7), 1858–1860 (2003)

    Article  Google Scholar 

  6. Fuglede, B.: Spirals in hilbert space: with an application in information theory. Expositiones Mathematicae 23, 23–45 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  7. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness, A Series of Books in the Mathematical Sciences. W. H. Freeman and Co., San Francisco (1979)

    MATH  Google Scholar 

  8. Hassin, R., Rubinstein, Sh.: A \(\frac{7} {8}\)-approximation algorithm for metric Max TSP. Inform. Process. Lett. 81(5), 247–251 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  9. Kaplan, H., Lewenstein, M., Shafrir, N., Sviridenko, M.: Approximation algorithms for asymmetric TSP by decomposing directed regular multigraphs. J. ACM 52(4), 602–626 (2005)

    Article  MathSciNet  Google Scholar 

  10. Kelly, J.B.: Hypermetric spaces and metric transforms. In: Inequalities, III (Proceedings of Third Symposium, Universityof California, Los Angeles, 1969; dedicated to the memory of Theodore S. Motzkin), pp. 149–158. Academic, New York (1972)

    Google Scholar 

  11. Kolmogorov, A.N.: Curves in hilbert space which are invariant w.r.t a one-parameter group of motions. Doklady Akad. Nauk 26, 6–9 (1940)

    Google Scholar 

  12. Kowalik, L., Mucha, M.: 35/44-approximation for asymmetric maximum TSP with triangle inequality. Algorithmica 59(2), 240–255 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  13. Masani, P.: On helixes in Hilbert space I. Theor. Probab. Appl. 17, 1–19 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  14. Mohri, M., Rostamizadeh, A., Talwalkar, A.: Foundations of Machine Learning. M.I.T. Press, Cambridge (2012)

    MATH  Google Scholar 

  15. Osterreicher, F., Vajda, I.: A new class of metric divergences on probability spaces and its statistical applications. Ann. Inst. Stat. Math. 55, 639–653 (2003)

    Article  MathSciNet  Google Scholar 

  16. Schoenberg, I.J.: Metric spaces and positive definite functions. Trans. Am. Math. Soc. 44, 226–251 (1941)

    MathSciNet  Google Scholar 

  17. Sims, G.E., Jun, S.R., Wu, G.A., Kim, S.H.: Alignment-free genome comparison with feature frequency profiles (ffp) and optimal resolutions. Proc. Natl. Acad. Sci. U. S. A. 106(8), 2677–2682 (2009)

    Article  Google Scholar 

  18. Trapnel, l.C., Williams, B.A., Pertea, G., Mortazavi, A.M., Kwan, G., van Baren, M.J., Salzberg, S.L., Wold, B., Pachter, L.: Transcript assembly and quantification by RNA-seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515 (2010)

    Google Scholar 

  19. Tsirelson, B.S.: Quantum analogues of Bell’s inequalities. The case of two spatially divided domains. Zap. Nauchn. Sem. Leningrad. Otdel. Mat. Inst. Steklov. (LOMI) 142, 174–194, 200 (1985) [Problems of the theory of probability distributions, IX]

    Google Scholar 

  20. Tsirelson, B.S.: Some results and problems on quantum Bell-type inequalities. Hadronic J. Suppl. 8(4), 329–345 (1993)

    MathSciNet  MATH  Google Scholar 

  21. von Neumann, J., Schoenberg, I.J.: Fourier integrals and metric geometry. Trans. Am. Math. Soc. 50, 226–251 (1941)

    Article  Google Scholar 

  22. Wells, J.H., Williams, L.R.: Embeddings and Extensions in Analysis (Ergebnisse der Mathematik und ihrer Grenzgebiete, Band 84). Springer, New York (1975)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Bachmat, E. (2014). A Classical Model for Storage System Activity. In: Mathematical Adventures in Performance Analysis. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-09513-4_1

Download citation

Publish with us

Policies and ethics