ABSTRACT: Scaling and democratizing access to big data promises to provide meaningful, actionable information that supports decision-making. Today, data-driven decisions profoundly affect the course of our lives, such as whether to admit applicants to a particular school, offer them a job, or grant them a mortgage. Unfair, inconsistent, or faulty decision-making raises serious concerns about […]

Abstract: A database storage manager should place data at the most cost/performance-effective tier in the storage hierarchy.  While performance and cost both decrease with distance from the CPU, the cost/performance trade-off depends on how efficiently a storage manager can move data across tiers.  Log structuring (LS) is designed to improve the cost/performance of secondary storage […]

Speaker: Oana Balmau (University of Sydney) Abstract: Cloud storage stacks are being challenged by new workloads, new hardware and new performance requirements. First, workloads evolved from following a read-heavy pattern (e.g., a static web-page) to a write-heavy profile where the read:write ratio is closer to 1:1 (e.g., as in the Internet of Things). Second, the […]

ABSTRACT: Anomaly detection is critical in enterprises, with applications ranging from preventing financial fraud, and defending network intrusions, to detecting imminent device failures. Although previously developed research offers a plethora of stand-alone methods for detecting particular types of anomalies, there is no end-to-end solution for data scientists to effectively discover anomalies over large volumes of […]