Hardware Based Databases
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Wolfgang Lehner
Wolfgang Lehner is full professor and head of the database systems group at TU Dresden, Germany. His research is dedicated to database system architecture specifically looking at hardware-related aspects in main-memory centric settings. He is part of TU Dresden's excellence cluster with research topics in energy-aware computing, resilient data structures on unreliable hardware, and orchestration of wildly heterogeneous systems. He is also a principal investigator with the DFG-funded CRC on “Highly Adaptive Energy Efficient Computing” as well as Germany's national “Competence Center for Scalable Data Services and Solutions” (ScaDS). Wolfgang Lehner also maintains a close research relationship with the SAP HANA development team in Walldorf, Seoul, and Waterloo. He serves the community in many program committees, is an elected member of the VLDB Endowment, is spokesman of the “Computer Science” review board of the German Research Foundation (DFG), and is an appointed member of the Academy of Europe. More info at:
http://wwwdb.inf.tu-dresden.de/lehner .Technische Universität Dresden, Computer Science Department, Database Technology Research Group, 01062 Dresden, Germany
©2017 Walter de Gruyter Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Editorial
- Hardware Based Databases
- Thematic Issue: Modern Database Architectures for Modern Hardware
- Storage class memory and databases: Opportunities and challenges
- Heterogeneous placement optimization for database query processing
- FPGAs for data processing: Current state
- Exploiting capabilities of modern processors in data intensive applications
- GPU-GIST – a case of generalized database indexing on modern hardware
- Architecture of a data analytics service in hybrid cloud environments
Artikel in diesem Heft
- Frontmatter
- Editorial
- Hardware Based Databases
- Thematic Issue: Modern Database Architectures for Modern Hardware
- Storage class memory and databases: Opportunities and challenges
- Heterogeneous placement optimization for database query processing
- FPGAs for data processing: Current state
- Exploiting capabilities of modern processors in data intensive applications
- GPU-GIST – a case of generalized database indexing on modern hardware
- Architecture of a data analytics service in hybrid cloud environments
