Auflistung nach Schlagwort "Data Center"
1 - 2 von 2
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragA Data Center Infrastructure Monitoring Platform Based on Storm and Trident(Datenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband, 2017) Dreissig, Felix; Pollner, NikoSensor data of a modern data center’s cooling and power infrastructure fulfil the character- istics of data streams and are therefore suitable for stream processing. We present a stream-based monitoring platform for data center infrastructure. It is based on multiple independent collectors, which query measurements from sensors and forward them to an Apache Kafka queue. At the platform’s core is a processing cluster based on Apache Storm and its high-level Trident API. From there, results get forwarded to one or multiple data sinks. Using our system, analytical queries can be developed using a collection of universal, generic stream operators including CORRELATE, a novel operator which combines elements from multiple streams with unique semantics. Besides the platform’s general concept, the characteristics and pitfalls of our real-world implementation are also discussed in this work.
- KonferenzbeitragVisualization and Machine Learning for Data Center Management(INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Chircu, Alina; Sultanow, Eldar; Baum, David; Koch, Christian; Seßler, MatthiasIn this paper, we present a novel tool for data center management that incorporates data visualization and machine learning capabilities. We developed the tool in the context of an action design research project conducted at a large government agency in Germany, which hosts three highly available data centers containing more than 10,000 servers. We derived the requirements for the tool from qualitative interviews with agency employees who are familiar with monitoring the data center infrastructure as well as from a review of existing data center and other large infrastructure monitoring solutions. We implemented a web-based 3D prototype for the tool as an Angular 6 application running on Node.js, and evaluated it with the same employees. Most participants preferred the new tool, which provided a significantly better option and enabled visualization of historical data for all server instances at the same time, as well as real-time charts. Planned improvements will take advantage of the full potential of machine learning for time series forecasting.