Method for Hdd Reliability Multiparametric Assessment

Autores/as

  • Iskandar Nailovich Nasyrov
  • Ildar Iskandarovich Nasyrov
  • Rustam Iskandarovich Nasyrov
  • Bulat Askarovich Khairullin

DOI:

https://doi.org/10.36097/rsan.v1i44.1607

Palabras clave:

information, storage, hard disk, reliability, parameter, method

Resumen

A method of multiparametric assessment of information storage devices reliability based on the dependence on the operating time of the SMART parameter values characterizing the state of hard magnetic disks in computers is presented. The parameters, with an increase in the values of which the failure probability of disk storage devices increases, are considered.

Citas

Backblaze. Hard Drive Data and Stats. URL: https://www.backblaze.com/b2/hard-drive-test-data.html (Accessed: 22.05.2020).

Nasyrov, I.N., Nasyrov, I.I., Nasyrov, R.I., Khairullin, B.A. (2019). Study of Failure Hazard Degree in Large Data Centers. Helix, 9(5), 5345–5349. URL: http://helix.dnares.in/2019/10/31/loss-of-pressure-in-a-smooth-pipe-with-a-pulsating-turbulent-course/

Pinheiro, E., Weber, W. D., & Barroso, L. A. (2007). Failure trends in a large disk drive population. Proceedings of the 5th USENIX Conference on File and Storage Technologies (FAST’07), San Jose, California, USA, 13-16 February, 17–28.

Nasyrov, I. N., Nasyrov, I. I., Nasyrov, R. I., & Khairullin, B. A. (2019). Reallocated Sectors Count Parameter for Analysing Hard Disk Drive Reliability. Journal of Computational and Theoretical Nanoscience, 16(12), 5298-5302.

Nasyrov, I. N., Nasyrov, I. I., Nasyrov, R. I., & Khairullin, B. A. (2018). Dependence of reallocated sectors count on HDD power-on time. International Journal of Engineering and Technology (UAE), 7(4.7), 200-203.

Nasyrov, R., Nasyrov, I., & Khairullin, B. (2019). Positioning errors indication by seek error rate and other Hdd parameters. Journal of Advanced Research in Dynamical and Control Systems, 11(8), 1797–1805.

Nasyrov, I. N., Nasyrov, I. I., Nasyrov, R. I., & Khairullin, B. A. (2019). Spin Retry Count Relation with Other hdd Parameters. Journal of Computational and Theoretical Nanoscience, 16(12), 5303-5306.

Nasyrov, I.N., Nasyrov, I.I., Nasyrov, R.I., Khairullin, B.A. (2018). Data mining for information storage reliability assessment by relative values. International Journal of Engineering and Technology (UAE), 7(7), 204–208. DOI: 10.14419/ijet.v7i4.7.20545. URL: https://www.sciencepubco.com/index.php/ijet/article/view/20545

Nasyrov, I. N., Nasyrov, I. I., Nasyrov, R. I., & Khairullin, B. A. (2018). Parameters selection for information storage reliability assessment and prediction by absolute values. Journal of Advanced Research in Dynamical and Control Systems, 10(2 Special Issue), 2248-2254.

Basak, S., Sengupta, S., & Dubey, A. (2019, June). Mechanisms for integrated feature normalization and remaining useful life estimation using lstms applied to hard-disks. In 2019 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 208-216). IEEE.

Yigit, I. O., Arslan, Ş. Ş., & Zeydan, E. (2018, May). A visualization platfom for disk failure analysis. In 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.

Aussel, N., Jaulin, S., Gandon, G., Petetin, Y., Fazli, E., & Chabridon, S. (2017, December). Predictive models of hard drive failures based on operational data. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 619-625). IEEE.

Kingston Technology Corporation. SMART Attribute Details. URL: https://drive.google.com/file/d/0B2RTg5K2_LNEZWpERlBjQ3BaM00/view (Accessed: 22.05.2020).

Micron Technology, Inc. Technical note: Client SATA SSD SMART Attribute Reference. URL: https://drive.google.com/file/d/0B2RTg5K2_LNETEF5aGhIVDgtNkU/view (Accessed: 22.05.2020).

Rincón, C. A., Pâris, J. F., Vilalta, R., Cheng, A. M., & Long, D. D. (2017, July). Disk failure prediction in heterogeneous environments. In 2017 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS) (pp. 1-7). IEEE.

Mashhadi, A. R., Cade, W., & Behdad, S. (2018). Moving towards real-time data-driven quality monitoring: a case study of hard disk drives. Procedia Manufacturing, 26, 1107-1115.

Gaber, S., Ben-Harush, O., & Savir, A. (2017, May). Predicting hdd failures from compound smart attributes. In Proceedings of the 10th ACM International Systems and Storage Conference (pp. 1-1).

Mashhadi, A. R., & Behdad, S. (2017). Optimal sorting policies in remanufacturing systems: Application of product life-cycle data in quality grading and end-of-use recovery. Journal of Manufacturing Systems, 43, 15-24.

Su, C. J., & Huang, S. F. (2018). Real-time big data analytics for hard disk drive predictive maintenance. Computers & Electrical Engineering, 71, 93-101.

Kumare Gopalakrishnan, P., & Behdad, S. (2017, August). Usage of product lifecycle data to detect hard disk drives failure factors. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 58165, p. V004T05A031). American Society of Mechanical Engineers.

Botezatu, M. M., Giurgiu, I., Bogojeska, J., & Wiesmann, D. (2016, August). Predicting disk replacement towards reliable data centers. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 39-48).

Chaves, I. C., de Paula, M. R. P., Leite, L. G., Queiroz, L. P., Gomes, J. P. P., & Machado, J. C. (2016, October). Banhfap: A bayesian network based failure prediction approach for hard disk drives. In 2016 5th Brazilian Conference on Intelligent Systems (BRACIS) (pp. 427-432). IEEE.

Qian, J., Skelton, S., Moore, J., & Jiang, H. (2015, August). P3: Priority based proactive prediction for soon-to-fail disks. In 2015 IEEE international conference on networking, architecture and storage (NAS) (pp. 81-86). IEEE.

Iskandar Nailovich Nasyrov

He received his first higher education at Novosibirsk State University with a degree in Physics. He defended his thesis of a candidate of physical and mathematical sciences at the Institute of Nuclear Physics at the Academy of Sciences of the Uzbek SSR. He received his second higher education at the Kama Polytechnic Institute with a degree in Accounting and Audit. He defended his doctoral thesis in economics at the Moscow Academy of State and Municipal Administration. Now he is a professor at the Naberezhnye Chelny Institute (branch) of the Kazan (Volga Region) Federal University.

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Publicado

2021-03-26

Cómo citar

Nailovich Nasyrov, I., Iskandarovich Nasyrov, I., Iskandarovich Nasyrov, R., & Askarovich Khairullin, B. (2021). Method for Hdd Reliability Multiparametric Assessment. Revista San Gregorio, 1(44). https://doi.org/10.36097/rsan.v1i44.1607