Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications
Content-aware load balancing for distributed backup
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
Characteristics of backup workloads in production systems
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Content-aware load balancing for distributed backup
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
Generating realistic datasets for deduplication analysis
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
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Managing storage growth is painful [1]. When a system exhausts available storage, it is not only an operational inconvenience but also a budgeting nightmare. Many system administrators already have historical data for their systems and thus can predict full capacity events in advance. EMC has developed a capacity forecasting tool for Data Domain systems which has been in production since January 2011. This tool analyses historical data from over 10,000 back-up systems daily, forecasts the future date for full capacity, and sends proactive notifications. This paper describes the architecture of the tool, the predictive model it employs, and the results of the implementation.