Accesso libero

Availability Modelling of Cluster-Based System with Software Aging and Optional Rejuvenation Policy

INFORMAZIONI SU QUESTO ARTICOLO

Cita

1. Kaushik, M., G. Kumar, Preeti, R. Sharma. Availability Analysisfor Embedded Systemwith N-Version Programming Using Fuzzy Approach. – International Journalof Software Engineering, Technologyand Applications, Vol. 1, 2015, No 1, pp. 90-101.10.1504/IJSETA.2015.067533Search in Google Scholar

2. Wang, D., W. Xie, K. S. Trivedi. Performability Analysisof Clustered Systemswith Rejuvenationunder Varying Workload. – Performance Evaluation, Vol. 64, 2007, No 3, pp. 247-265.10.1016/j.peva.2006.04.002Search in Google Scholar

3. Zhao, J., Y. Wang, G. R. Ning, K. S. Trivedi, R. Matias, K. Y. Cai. A Comprehensive Approachto Optimal Software Rejuvenation. – Performance Evaluation, Vol. 70, 2013, No 11, pp. 917-933.10.1016/j.peva.2013.05.010Search in Google Scholar

4. Bao, Y., X. Sun, K. S. Trivedi. A Workload-Based Analysisof Software Aging, and Rejuvenation. – IEEE Transactionson Reliability, Vol. 54, 2005, No 3, pp. 541-548.10.1109/TR.2005.853442Search in Google Scholar

5. Cotrineo, D., R. Natella, R. Pietrantuono, S. Russo. A Surveyof Software Agingand Rejuvenation Studies. – ACM Journalon Emerging Technologiesin Computing Systems, Vol. 10, 2014, No 1, pp. A1-A35.10.1145/2539117Search in Google Scholar

6. Trivedi, K. S., K. Vaidyanathan, K. Goseva-Popstojanova. Modelingand Analysisof Software Agingand Rejuvenation. – In: Proc. of 33rd Annual Simulation Symposium, 2000, p. 270.Search in Google Scholar

7. Nagaraju, V., V. V. Basavaraj, L. Fiondella. Software Rejuvenationofa Fault-Tolerant Server Subjectto Correlated Failure. – In: Proc. of Annual Reliabilityand Maintainability Symposium, 2016, DOI: 10.1109/RAMS.2016.7448076.10.1109/RAMS.2016.7448076Open DOISearch in Google Scholar

8. Grottke, M., L. Li, K. Vaidyanathan, K. S. Trivedi. Analysisof Software Agingina Web Server. – IEEE Transactionson Reliability, Vol. 55, 2006, No 3, pp. 411-420.10.1109/TR.2006.879609Search in Google Scholar

9. Huang, Y., C. Kintala, N. Kolettis, N. Fulton. Software Rejuvenation: Analysis, Moduleand Applications. – In: Proc. of 15th International Symposiumon Fault-Tolerant Computing, 1995, pp. 381-390.Search in Google Scholar

10. Alonso, J., R. Matias, E. Vicente, A. Maria, K. S. Trivedi. A Comparative Experimental Studyof Software Rejuvenation Overhead. – Performance Evaluation, Vol. 70, 2013, No 3, pp. 231-250.10.1016/j.peva.2012.09.002Search in Google Scholar

11. Sharma, R., M. Kaushik, G. Kumar. Reliability Analysisofan Embedded Systemwith Multiple Vacationsand Standby. – International Journalof Reliabilityand Applications, Vol. 16, 2015, No 1, pp. 35-53.Search in Google Scholar

12. Threshold N-Policyfor Machine Interference Problemwith Additional Repairmanand Spares under Bernoulli Vacation Schedule. – In: Proc. of 11th International Conferenceon Reliability, Maintainabilityand Safety, IEEE Explore, 2017, pp. 1-5. DOI:10.1109/ICRMS.2016.8050058.10.1109/ICRMS.2016.8050058Open DOISearch in Google Scholar

13. Sharma, R. Reliability Analysisfora Repairable Systemunder N-Policyand Imperfect Coverage. – In: Proc. of International Multi Conferenceof Engineersand Computer Scientists, Vol. 2, 2015, pp. 1001-1004.Search in Google Scholar

14. Jain, M., R. Sharma, R. Meena. Performance Modelingof Fault Tolerant Machining Systemwith Working Vacationand Working Breakdown. – Arabian Journalfor Scienceand Engineering, Vol. 44, 2019, No 3, pp. 2825-2836.10.1007/s13369-018-3591-6Search in Google Scholar

15. Ibe, O. C., R. C. Howe, K. S. Trivedi. Approximate Availability Analysisof Vax Cluster Systems. – IEEE Transactionson Reliability, Vol. 38, 1989, No 1, pp. 146-152.10.1109/24.24588Search in Google Scholar

16. Jain, M., Preeti. Availability Analysisof Software Rejuvenationin Active/Standby Cluster System. – International Journalof Industrialand Systems Engineering, Vol. 19, 2015, No 1, pp. 75-93.10.1504/IJISE.2015.065948Search in Google Scholar

17. Jain, M., S. Rani. Transient Analysisof Hardwareand Software Systemswith Warm Standbysand Switching Failures. – International Journalof Mathematicsin Operational Research, Vol. 6, 2013, No 1, pp. 1-28.10.1504/IJMOR.2014.057842Search in Google Scholar

18. Sharma, R., G. Kumar. Availability Improvementforthe Successive K-outof-N Machining System Using Standbywith Multiple Working Vacations. – International Journalof Reliabilityand Safety, Vol. 11, 2017, No 3/4, pp. 256-267.10.1504/IJRS.2017.089710Search in Google Scholar

19. Hong, Z., Y. Wang, M. Shi. Advancesin Future Computerand Control Systems. – Advancesin Intelligentand Soft Computing, Berlin, Heidelberg, Springer, 2012, pp. 121-125.10.1007/978-3-642-29390-0_21Search in Google Scholar

20. Sankar, S., P. Srinivasan. Multi-Layer Cluster Based Energy Aware Routing Protocolfor Internetof Things. – Cyberneticsand Information Technologies, Vol. 18, 2018, No 3, pp. 75-92.10.2478/cait-2018-0040Search in Google Scholar

21. Yamakita, K., H. Yamada, K. Kono. Phase-Based Reboot: Reusing Operating System Execution Phasesfor Cheap Reboot-Based Recovery. – In: Proc. of IEEE/IFIP 41st International Conferenceon Dependable Systems & Networks, 2011, DOI. 10.1109/DSN.2011.5958216.10.1109/DSN.2011.5958216Open DOISearch in Google Scholar

eISSN:
1314-4081
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, Information Technology