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Google Releases Paper on Disk Reliability
Posted by
Zonk
on Sun Feb 18, 2007 12:18 AM
from the fun-saturday-night-reading dept.
from the fun-saturday-night-reading dept.
oski4410 writes "The Google engineers just published a paper on Failure Trends in a Large Disk Drive Population. Based on a study of 100,000 disk drives over 5 years they find some interesting stuff. To quote from the abstract: 'Our analysis identifies several parameters from the drive's self monitoring facility (SMART) that correlate highly with failures. Despite this high correlation, we conclude that models based on SMART parameters alone are unlikely to be useful for predicting individual drive failures. Surprisingly, we found that temperature and activity levels were much less correlated with drive failures than previously reported.'"
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Great (Score:5, Funny)
Re:Proprietary reporting (Score:5, Insightful)
You really didn't read the article, did you? On page 3 (Section 2.2 Deployment Details), the authors state: "More than one hundred thousand disk drives were used for all the results presented here. The disks are a combination of serial and parallel ATA consumer-grade hard disk drives, ranging in speed from 5400 to 7200 rpm, and in size from 80 to 400 GB. All units were put into production in or after 2001. [...] The data used for this study were collected between December 2005 and August 2006."
What are you waiting for Google to tell you? Are you really accusing them of being evil because they did a study, described their methodology, detailed their results, presented their analyses, and published it all for anyone who is interested?
You describe their conclusions as:
But there is no contradiction at all if you are smart enough to understand. They are telling you that if SMART identifies a problem with a drive then it is very likely that drive will fail within 60 days. But in a sample of 100,000 drives, many drives will also fail that have not returned errors on SMART scans. Thus SMART is a reliable indicator of impending failure but is not a silver bullet that can recognize and predict all failures before they happen.
Next time you have access to 100,000 hard drives, can analyze patterns of failure among them, can use those failures as a benchmark against which to measure analysis tools, and can come up with better recommendations for predicting failure than this study, then by all means let us know. But if you're looking for Microsoft or Western Digital or Seagate or Yahoo to perform and publish this kind of study for free, I think you may be waiting a good long while.
Did they ever name the brands? (Score:4, Insightful)
That would be corporate dynamite (Score:5, Insightful)
Re:That would be corporate dynamite (Score:4, Interesting)
Re:That would be corporate dynamite (Score:5, Insightful)
They do say that "vintage" matters (Score:5, Interesting)
Manufacturers have good years and bad years. The writers don't want to damn a company because it had a couple of bad years during this time period.
Still, it's a bummer that the single most important factor goes unpublished. Even if it could cause a panic I'm sure there's some useful information in there (eg. a company to avoid like the plague).
You can get IDE/SATA drives FAILURE RATES Here (Score:5, Informative)
http://pro.sunrise.ru/articletext.asp?reg=30&id=2
http://pro.sunrise.ru/docs/30/image001.gif [sunrise.ru] - IDE/SATA (3.5" formfactor)
http://pro.sunrise.ru/docs/30/image002.gif [sunrise.ru] - HDD (2.5" notebook formfactor)
In short, most returns are for Maxtor brand. Lowest - IBM/Hitachi.
Toshiba is worst in 2.5", and Seagate is best.
The chance to be blown are between 1/20 (Maxtor) to 1/70 (Hitachi).
Re:That would be corporate dynamite (Score:5, Insightful)
Old Google Motto: Don't do anything evil.
New Google Motto: Don't get into trouble.
Re:Did they ever name the brands? (Score:5, Interesting)
breakdown of drives per manufacturer, model, or vintage
due to the proprietary nature of these data.
But, of course.
Re:Did they ever name the brands? (Score:5, Funny)
Re:Did they ever name the brands? (Score:5, Funny)
Re:Did they ever name the brands? (Score:4, Insightful)
Re:Translation (Score:5, Insightful)
Re:Translation (Score:5, Insightful)
Re:Translation (Score:5, Insightful)
We're not so bloody stupid to believe that our competitors are standing in the aisle of Circuit City and scratching their head over whether to buy a Seagate or WD drive.
We know that our competitors all have their own metrics and their own relationships with manufacturers and frankly, we don't care. We know our competitors also measure these things, and we're not telling them anything they don't already know.
We aren't particularly worried about saying that some drives fail, because everyone who cares already knows that some drives fail. Everyone whose job it is to know which drives fail first already knows that as well.
But we're not going to tell you which brand fails at a higher rate than normal because we don't need a lawsuit that would cost us a lot of money but in the end would only confirm what the people who need to know these things already know.
We will, on the other hand, describe the tests we ran, our methodology, our results, and our analyses. We do this just for kicks and we hope you can learn something from the results.
And we hope you have a nice day.
Conclusion (Score:4, Informative)
"In this study we report on the failure characteristics of consumer-grade disk drives. To our knowledge, the study is unprecedented in that it uses a much larger population size than has been previously reported and presents a comprehensive analysis of the correlation between failures and several parameters that are believed to affect disk lifetime. Such analysis is made possible by a new highly parallel health data collection and analysis infrastructure, and by the sheer size of our computing deployment.
One of our key findings has been the lack of a consistent pattern of higher failure rates for higher temperature drives or for those drives at higher utilization levels. Such correlations have been repeatedly highlighted by previous studies, but we are unable to confirm them by observing our population. Although our data do not allow us to conclude that there is no such correlation, it provides strong evidence to suggest that other effects may be more prominent in affecting disk drive reliability in the context of a professionally managed data center deployment.
Our results confirm the findings of previous smaller population studies that suggest that some of the SMART parameters are well-correlated with higher failure probabilities. We find, for example, that after their first scan error, drives are 39 times more likely to fail within 60 days than drives with no such errors. First errors in reallocations, offline reallocations, and probational counts are also strongly correlated to higher failure probabilities. Despite those strong correlations, we find that failure prediction models based on SMART parameters alone are likely to be severely limited in their prediction accuracy, given that a large fraction of our failed drives have shown no SMART error signals whatsoever. This result suggests that SMART models are more useful in predicting trends for large aggregate populations than for individual components. It also suggests that powerful predictive models need to make use of signals beyond those provided by SMART."
Similar paper (Score:4, Informative)
and in the meanwhile... (Score:4, Informative)
C'mon, slashdot. There were about twenty other papers presented at FAST this year. Let's not focus only on the one with Google authors...
Temperature conclusion (Score:5, Interesting)
Lower temp == higher failure rates (Score:5, Interesting)
This speaks volumes. (Score:5, Funny)
How many drives really (Score:5, Insightful)
The paper claims "more than 100 thousand drives". But the nice thing is that you can derive the actual number from the error bars, for example those in figure 4. The data should be governed by Poisson statistics, which means that the standard deviation in the counts is equal to the square root of the count. However, their error bars seem to be about a factor 2 larger than the standard deviation, because normally around 68% of the data points should lie within one standard deviation from the "smooth curve". Let's assume the error bars are 95% confidence intervals, i.e. 2 standard deviations.
Look at the data for 20 to 21 C. It tells you that it represents a fraction 0.0135 of their total drive population, with an average failure rate of 7 +- 0.5 %. Following the reasoning above, this 7% should represent 784+-28 drives. Since these represent 7% of 1.35% of the total number of drives, we can derive that the total number of drives is 784/0.07/0.0135 = 830,000 drives. Trying the same thing for 30 to 31 C gives 826,000 drives, which seems fairly consistent.
So can we assume that Google has deployed 830,000 hard disk drives since 2001? How many servers do they have now?
Re:Hmm (Score:5, Funny)
Didn't read the summary? (Check)
Congratulations, you're not officially a slashdot regular!
Re:Hmm (Score:4, Informative)
So, if you have errors in those highly correlated categories your drives are probably going to fail, but if you do not have errors in these categories your drives can still fail.