| Form of presentation | Articles in international journals and collections |
| Year of publication | 2018 |
| Язык | английский |
|
Nasyrov Ildar Iskandarovich, author
Nasyrov Iskandar Nailovich, author
Nasyrov Rustam Iskandarovich, author
Khayrullin Bulat Askarovich, author
|
| Bibliographic description in the original language |
Nasyrov I.N., Nasyrov I.I., Nasyrov R.I., Khairullin B.A. Data mining for information storage reliability assessment by relative values // International Journal of Engineering and Technology (UAE). 2018. Vol.7, Is.4.7 Special Issue 7. P. 204-208. |
| Annotation |
The data ambiguity problem for heterogeneous sets of equipment reliability indicators is considered. In fact, the same manufacturers do
not always unambiguously fill the SMART parameters with the corresponding values for their different models of hard disk drives. In
addition, some of the parameters are sometimes empty, while the other parameters have only zero values.
The scientific task of the research consists in the need to define such a set of parameters that will allow us to obtain a comparative assessment
of the reliability of each individual storage device of any model of any manufacturer for its timely replacement.
The following conditions were used to select the parameters suitable for evaluating their relative values:
1) The parameter values for normally operating drives should always be greater or lower than for the failed ones;
2) The monotonicity of changes in the values of parameters in the series should be observed: normally working, withdrawn prematurely,
failed;
3) The first two conditions must be fulfilled both in general and in particular, for example, for the drives of each brand separately.
Separate averaging of the values for normally operating, early decommissioned and failed storage media was performed. The maximum
of these three values was taken as 100%. The relative distribution of values for each parameter was studied.
Five parameters were selected (5 – “Reallocated sectors count”, 7 – “Seek error rate”, 184 – “End-to-end error”, 196 – “Reallocation
event count”, 197 – “Current pending sector count”, plus another four (1 – “Raw read error rate”, 10 – “Spin-up retry counts”, 187 –
“Reported uncorrectable errors”, 198 – “Uncorrectable sector counts”), which require more careful analysis, and one (194 – “Hard disk
assembly temperature”) for prospective use in solid-state drives, as a result of the relative value study of their suitability for use upon
evaluating the reliability of data storage devices. |
| Keywords |
information, storage, reliability, parameter, estimation |
| The name of the journal |
International Journal of Engineering and Technology(UAE)
|
| Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=187272&p_lang=2 |
| Resource files | |
|
|
Full metadata record  |
| Field DC |
Value |
Language |
| dc.contributor.author |
Nasyrov Ildar Iskandarovich |
ru_RU |
| dc.contributor.author |
Nasyrov Iskandar Nailovich |
ru_RU |
| dc.contributor.author |
Nasyrov Rustam Iskandarovich |
ru_RU |
| dc.contributor.author |
Khayrullin Bulat Askarovich |
ru_RU |
| dc.date.accessioned |
2018-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2018-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2018 |
ru_RU |
| dc.identifier.citation |
Nasyrov I.N., Nasyrov I.I., Nasyrov R.I., Khairullin B.A. Data mining for information storage reliability assessment by relative values // International Journal of Engineering and Technology (UAE). 2018. Vol.7, Is.4.7 Special Issue 7. P. 204-208. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=187272&p_lang=2 |
ru_RU |
| dc.description.abstract |
International Journal of Engineering and Technology(UAE) |
ru_RU |
| dc.description.abstract |
The data ambiguity problem for heterogeneous sets of equipment reliability indicators is considered. In fact, the same manufacturers do
not always unambiguously fill the SMART parameters with the corresponding values for their different models of hard disk drives. In
addition, some of the parameters are sometimes empty, while the other parameters have only zero values.
The scientific task of the research consists in the need to define such a set of parameters that will allow us to obtain a comparative assessment
of the reliability of each individual storage device of any model of any manufacturer for its timely replacement.
The following conditions were used to select the parameters suitable for evaluating their relative values:
1) The parameter values for normally operating drives should always be greater or lower than for the failed ones;
2) The monotonicity of changes in the values of parameters in the series should be observed: normally working, withdrawn prematurely,
failed;
3) The first two conditions must be fulfilled both in general and in particular, for example, for the drives of each brand separately.
Separate averaging of the values for normally operating, early decommissioned and failed storage media was performed. The maximum
of these three values was taken as 100%. The relative distribution of values for each parameter was studied.
Five parameters were selected (5 – “Reallocated sectors count”, 7 – “Seek error rate”, 184 – “End-to-end error”, 196 – “Reallocation
event count”, 197 – “Current pending sector count”, plus another four (1 – “Raw read error rate”, 10 – “Spin-up retry counts”, 187 –
“Reported uncorrectable errors”, 198 – “Uncorrectable sector counts”), which require more careful analysis, and one (194 – “Hard disk
assembly temperature”) for prospective use in solid-state drives, as a result of the relative value study of their suitability for use upon
evaluating the reliability of data storage devices. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
information |
ru_RU |
| dc.subject |
storage |
ru_RU |
| dc.subject |
reliability |
ru_RU |
| dc.subject |
parameter |
ru_RU |
| dc.subject |
estimation |
ru_RU |
| dc.title |
Data mining for information storage reliability assessment by relative values |
ru_RU |
| dc.type |
Articles in international journals and collections |
ru_RU |
|
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