Thirumale Niranjan

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Performance problems in complex systems are often caused by underprovisioning, workload interference, incorrect expectations or bugs. Troubleshooting such systems is a difficult task faced by service engineers. We have built CLUEBOX, a non-intrusive toolkit that aids rapid problem diagnosis. It employs machine learning techniques on the available(More)
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level helps in designing efficient storage systems. Second, it helps create benchmarks that mimic realistic application behavior closely. Third, it enables autonomic systems as the(More)
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of the hard drive vendors support self-monitoring, analysis and reporting technology (SMART) which are often considered unreliable for such tasks. The problem of finding alternatives(More)
The ability to accurately predict an impending hard disk failure is important for reliable storage system design. The facility provided by most hard drive manufacturers, called S.M.A.R.T. (selfmonitoring, analysis and reporting technology), has been shown by current research to have poor predictive value. The problem of finding alternatives to S.M.A.R.T.(More)
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