DIADS: Addressing the "My-Problem-or-Yours" Syndrome with Integrated SAN and Database Diagnosis

We present DIADS, an integrated DIAgnosis tool for Databases and Storage area networks (SANs). Existing diagnosis tools in this domain have a database-only (e.g., [11]) or SAN-only (e.g., [28]) focus. DIADS is a firstof-a-kind framework based on a careful integration of information from the database and SAN subsystems; and is not a simple concatenation of database-only and SANonly modules. This approach not only increases the accuracy of diagnosis, but also leads to significant improvements in efficiency. DIADS uses a novel combination of non-intrusive machine learning techniques (e.g., Kernel Density Estimation) and domain knowledge encoded in a new symptoms database design. The machine learning component provides core techniques for problem diagnosis from monitoring data, and domain knowledge acts as checks-andbalances to guide the diagnosis in the right direction. This unique system design enables DIADS to function effectively even in the presence of multiple concurrent problems as...

• Type: Journal
• Year: 2009
• Where: FAST
• Authors: Shivnath Babu, Nedyalko Borisov, Sandeep Uttamchandani, Ramani Routray, Aameek Singh
• Keywords: Databases, Diagnosis Tools, FAST 2009, Integrated Diagnosis Tool, Operating System