Sharing-aware outlier analytics over high-volume data streams

Sharing-aware outlier analytics over high-volume data streams Cao et al. SIGMOD 2016 With yesterday’s preliminaries on skyline queries out of the way, it’s time to turn our attention to the Sharing-aware Outlier Processing (SOP) algorithm of Cao et al. The challenge that SOP addresses is that of building a stream-based outlier detection system that can ... Continue Reading

DBSherlock: A performance diagnostic tool for transactional databases

DBSherlock: A performance diagnostic tool for transactional databases Yoon et al. SIGMOD ’16 …tens of thousands of concurrent transactions competing for the same resources (e.g. CPU, disk I/O, memory) can create highly non-linear and counter-intuitive effects on database performance. If you’re a DBA responsible for figuring out what’s going on, this presents quite a challenge. ... Continue Reading

Realtime data processing at Facebook

Realtime Data Processing at Facebook Chen et al. SIGMOD 2016 ‘Realtime Data Processing at Facebook’ provides us with a great high-level overview of the systems Facebook have built to support real-time workloads. At the heart of the paper is a set of five key design decisions for building such systems, together with an explanation of ... Continue Reading