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June 22
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George Amvrosiadis (Monday, 12:00pm, BA5205)
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Identifying Trends in Enterprise Data Protection Systems
Enterprises routinely use data protection techniques to achieve business continuity in the event of failures. To ensure that backup and recovery goals are met in the face of the steep data growth rates of modern workloads, data protection systems need to constantly evolve. Recent studies show that these systems routinely miss their goals today. However, there is little work in the literature to understand why this is the case.
In this talk, I will present a study of 40,000 enterprise data protection systems deploying Symantec NetBackup, a commercial backup product. In total, we analyzed over a million weekly reports which have been collected over a period of three years. We discovered that the main reason behind inefficiencies in data protection systems is misconfigurations. Furthermore, our analysis shows that these systems grow in bursts, leaving clients unprotected at times, and are often configured using the default parameter values. As a result, we believe there is potential in developing automated, self-healing data protection systems that achieve higher efficiency standards. To aid researchers in the development of such systems, we use our dataset to identify trends characterizing data protection systems with regards to configuration, job scheduling, and data growth.
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George is a Ph.D. Candidate at the Systems and Networks lab of DCS, under the supervision of Prof. Angela Demke Brown and Prof. Ashvin Goel. He is currently investigating ways that enable storage maintenance tasks to reach their goals faster.
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