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Reseach Article

Estimation of Ready Queue Processing Time using Transformed Factor-Type (T-F-T) Estimator in Multiprocessor Environment

by Diwakar Shukla, Anjali Jain, Kapil Verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 16
Year of Publication: 2013
Authors: Diwakar Shukla, Anjali Jain, Kapil Verma
10.5120/13948-1938

Diwakar Shukla, Anjali Jain, Kapil Verma . Estimation of Ready Queue Processing Time using Transformed Factor-Type (T-F-T) Estimator in Multiprocessor Environment. International Journal of Computer Applications. 79, 16 ( October 2013), 40-48. DOI=10.5120/13948-1938

@article{ 10.5120/13948-1938,
author = { Diwakar Shukla, Anjali Jain, Kapil Verma },
title = { Estimation of Ready Queue Processing Time using Transformed Factor-Type (T-F-T) Estimator in Multiprocessor Environment },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 16 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number16/13948-1938/ },
doi = { 10.5120/13948-1938 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:53:11.944891+05:30
%A Diwakar Shukla
%A Anjali Jain
%A Kapil Verma
%T Estimation of Ready Queue Processing Time using Transformed Factor-Type (T-F-T) Estimator in Multiprocessor Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 16
%P 40-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The ready queue processing time estimation problem appears when many processes remain in the ready queue just before the occurrence of sudden failure of system. The system administrator has to decide immediately, how much further time is required to process the remaining jobs in the ready queue, before shutting down the entire system as precautionary measure, so that while restart, it may remain in the safe state. In lottery scheduling, this prediction is possible with the help of sampling techniques. Factor- Type estimation method, existing in literature of sampling, was used by many authors to predict the time required provided the highly correlated sources of auxiliary information are available. This paper suggests two new estimation methods to predict the remaining total processing time required to process completely the ready queue provided sources of auxiliary information are negatively correlated. Under this approximation, the bias and m. s. e of the proposed estimators have been obtained using the set up of random sampling applicable to lottery scheduling. Performance of both estimation methods are compared in terms of mean squared error. The confidence intervals are calculated for comparing the efficiency of the estimate. One proposed estimator found better over other. .

References
  1. A. C. Waldspurger, E. W. Weihl, "Lottery Scheduling a flexible proportional-share resource management", Proceedings of the 1st USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp. 1-11,1994.
  2. D. Petro, A. G. Gibson, W. J. Milford, "Implementing Lottery Scheduling: Matching the specializations in Traditional Schedulers", Proceedings of the USENIX Annual Technical Conference USA, pp. 66-80, 1999.
  3. D. Yiping, F. William, "Interpreting Windows NT Processor Queue Length Measurements", Proceedings of the 31st Computer Measurement Group Conference, Vol. 2, pp. 759-770, 2000.
  4. A. Tanenbaum, Operating System, Ed. 8, Prentice Hall of India, New Delhi, 2000.
  5. A. Silberschatz, P. Galvin, Operating System Concepts, Ed. 5, John Wiley and Sons (Asia), Inc, 1999.
  6. Cochran, Sampling Technique, Wiley Eastern Publication, New Delhi, 2005.
  7. D. Singh, F. S. Choudhary, Theory and Analysis of Sample Survey and Designs, Wiley Eastern Limited, New Delhi, 1986.
  8. D. Shukla, A. Jain, A. Chowdhary, " Estimation of ready queue processing time under Usual Lottery Scheduling (ULS) scheme in multiprocessor environment", Journal of Applied Computer Science and Mathematics (JACSM), Vol. 11, no. 11, pp. 58-63, 2011.
  9. D. Shukla, A. Jain, "Estimation of ready queue processing time under SL-Scheduling scheme in multiprocessor environment", International Journal of Computer Science and Security (IJCSS), Vol. 4(1), pp. 74-81, 2010.
  10. D. Shukla, A. Jain, A. Chowdhary," Estimation of ready queue processing time under Usual Group Lottery Scheduling (GLS) scheme in multiprocessor environment", International Journal of Computer and Applications (IJCA), Vol. 8, no. 14, pp. 39-45, 2010.
  11. D. Raz, B. Itzahak, H. Levy, "Classes, Priorities and Fairness in Queuing Systems", Research report, Rutgers University, 2004.
  12. D. Shukla, A. Jain, "Analysis of ready queue processing time under PPS-LS and SRS-LS scheme in multiprocessing environment", GESJ: Computer Science and Telecommunication, Vol. 33, no. 1, pp. 54-61, 2012.
  13. D. Shukla, A. Jain, "Estimation of ready queue processing time using Efficient Factor -Type (E-F-T) estimator in multiprocessor environment", International Journal of Computer and Applications (IJCA), Vol. 48, no. 16, pp. 20-27, 2012.
  14. V. K. Singh, D. Shukla, "One parameter family of factor type ratio estimators", METRON International Journal of Statistics, Vol. XLV- no. 1-2, pp. 273-283, 1987.
  15. V. K. Singh, D. Shukla,"An efficient one-parameter family of factor-type estimator in sample surveys", METRON International Journal of Statistics, Vol. XVV, pp. 139-159, 1992.
  16. W. Stalling, Operating Systems, Ed. 5, Pearson Education, Singapore, Indian Edition, New Delhi, 2004.
  17. T. Srivenkataramana, "A dual to ratio estimator in sample survey", Biometrika, Vol. 67, pp. 199-204, 1980.
  18. D. Shukla, V. K. Singh, G. N. Singh, "On the use of transformation in factor-type estimator", METRON International Journal of Statistics, Vol. XLV, pp. 349-
Index Terms

Computer Science
Information Sciences

Keywords

Lottery Scheduling Transformed Factor-Type (T-F-T) Estimator Mean Squared Error (M. S. E) Variance Confidence Intervals