Auflistung nach Autor:in "Hudlet, Volker"
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- KonferenzbeitragMeasuring energy consumption of a database cluster(Datenbanksysteme für Business, Technologie und Web (BTW), 2011) Hudlet, Volker; Schall, DanielEnergy consumption of database servers is a growing concern for companies as it is a critical part of a data center's cost. To address the rising cost and the waste of energy, a new paradigm called GreenIT arose. Hardware and software developers are aiming at more energy-efficient systems. To improve the energy footprint of database servers, we developed a cluster of small-scale nodes, that can be dynamically powered dependent on the workload. This demo shows the measurement framework we set up to measure hardware components as well as an entire cluster of nodes. We'll exhibit the measurement devices for components and servers and show the system's behavior under varying workloads. Attendees will be able to adjust workloads and experience their impact on energy consumption.
- KonferenzbeitragSSD ≠ SSD – an empirical study to identify common properties and type-specific behavior(Datenbanksysteme für Business, Technologie und Web (BTW), 2011) Hudlet, Volker; Schall, DanielSolid-state disks are promising high access speed at low energy consumption. While the basic technology for SSDs – flash memory – is well established, new product models are constantly emerging. With each new SSD generation, their behavior pattern changes significantly and it is therefore difficult to make out characteristics for SSDs in general. In this paper, we accomplish empirical, database-centric performance measurements for SSDs, explain the results, and try to derive common characteristics. By comparing our measurement results, we detect no ground truth valid for all solid-state disks. Furthermore, we show that a number of prevalent assumptions about SSDs, which several SSD-specific DBMS optimizations are based on, are questionable by now. As a consequence of these findings, tailor-made DBMS algorithms for specific SSD types may be unsuitable and optimal use of SSD technology in an DBMS context may require careful design and rather adaptive algorithms.