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Performance and Cost Benefit Analysis of a Hardware-Software System Considering Hardware based Software Interaction Failures and Different Types of Recovery

by Rajeev Kumar, Monu Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 17
Year of Publication: 2012
Authors: Rajeev Kumar, Monu Kumar
10.5120/8514-2525

Rajeev Kumar, Monu Kumar . Performance and Cost Benefit Analysis of a Hardware-Software System Considering Hardware based Software Interaction Failures and Different Types of Recovery. International Journal of Computer Applications. 53, 17 ( September 2012), 25-32. DOI=10.5120/8514-2525

@article{ 10.5120/8514-2525,
author = { Rajeev Kumar, Monu Kumar },
title = { Performance and Cost Benefit Analysis of a Hardware-Software System Considering Hardware based Software Interaction Failures and Different Types of Recovery },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 17 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number17/8514-2525/ },
doi = { 10.5120/8514-2525 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:54:20.305501+05:30
%A Rajeev Kumar
%A Monu Kumar
%T Performance and Cost Benefit Analysis of a Hardware-Software System Considering Hardware based Software Interaction Failures and Different Types of Recovery
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 17
%P 25-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the present paper a hardware-software system that may have hardware, software and hardware based software interaction failures is taken. It is considered that a hardware and a software failure occurs purely due to respective hardware and software subsystems whereas a hardware based software interaction failure occurs whenever hardware degradation is not detected or repaired by the software method. It is assumed that, in addition to the software methods, recovery of the hardware and the software subsystems upon their failure may respectively be carried out by external hardware and software engineers. The measure of system performance such as mean time to system failure, expected up time of the system, expected down time due to pure hardware failure, expected down time due to pure software failure, expected down time due to hardware based software interactions failure, expected number of software repairs, expected number of hardware repairs, expected number of visits of hardware engineers, expected number of visits of software engineers, expected number of hardware repair by software method and expected number of software repair by re-execution are obtained using Markov process and regenerative point technique. Various conclusions regarding reliability and profit of the system are drawn on the basis of graphical studies.

References
  1. Friedman, M. A. and Tran, P. , 1992. Reliability techniques for combined hardware/software systems, Proceeding Annual Reliability and Maintainability Symposium, pp. 290-293
  2. Hecht, H. and Hecht, M. , 1986. Software Reliability in the System Context, IEEE Transactions on Software Engineering, Vol. 12, pp. 51-58.
  3. Kumar, A. and Malik, S. C. , 2012. Stochastic Modeling of a Computer System with Priority to PM over S/W Replacement Subject to Maximum Operation and Repair, International Journal of Computer Applications, Vol. 43, No. 3, pp. 27-34.
  4. Welke, S. R. , Johnson, B. W. and Aylor, J. H. , 1995. Reliability Modeling of Hardware/Software Systems, IEEE Trans. Reliability, Vol. 44, pp. 413-418.
  5. Boyd, M. A. and Monahan, C. M. , 1995 Developing integrated hardware-software system reliability models: difficulties and issues [For Digital Avionics]. Proceeding of the digital avionics systems conference, 14th DASC, pp 193-198, Cambridge, USA.
  6. Iyer, R. K. and Velardi, P. , 1985. Hardware related Software Errors: Measurement and Analysis. IEEE Transactions on Software Engineering, Vol. 11, pp. 223-230.
  7. Martin, R. and Mathur, A. P. , 1990. Software and Hardware Quality Assurance: Towards a Common Platform for Increase the Usability of this Methodology, Proc. IEEE Conf. Comm.
  8. Kanoun, K. and Ortalo-Borrel, M. , 2000. Fault-Tolerant Systems Dependability-Explicit Modeling of Hardware and Software Component-Interactions, IEEE Trans. Reliability, Vol. 49, No. 4, pp. 363-376.
  9. Huang, B. , Li, X. , Li, M. , Bernstein, J. and Smidts, C. , 2005. Study of the Impact of Hardware Fault on Software Reliability, Proc. 16th IEEE International Symp. Software Reliability Engineering (ISSSRE'05).
  10. Teng, X. , Pham, H. and Jeske, D. R. , 2006. Reliability Modeling of Hardware and Software Interactions and its Applications, IEEE Trans. Reliability, Vol. 55, pp. 571-577.
  11. Kumar, R. and Kumar, M. 2011. Reliability and Availability Analysis of a Computer System with Hardware-Software Interactions and Different types of recovery, Proceeding of the International conference on Advances in Modeling, Optimization and Computing, I. I. T. , Roorkee, pp. 531-534.
  12. Trivedi, K. S. , Vasireddy, R. , Trindade, D. , Nathan,S. , and Rick Castro. , 2006. Modeling High Availability Systems. Proceeding Pacific Rim Dependability Conference PRDC.
Index Terms

Computer Science
Information Sciences

Keywords

Hardware-software system Hardware based software interaction MTSF expected up time expected down time profit Markov process regenerative point technique