Ingo Mueller

Title: Ingo Mueller: Innovator in Adaptive Dictionary Compression

Introduction

Ingo Mueller is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the field of database technology, particularly in the area of adaptive dictionary compression and decompression. With a total of five patents to his name, Mueller's work has the potential to enhance the efficiency of column-store databases.

Latest Patents

One of Ingo Mueller's latest patents focuses on adaptive dictionary compression and decompression for column-store databases. This innovation aims to reduce the amount of memory used for columns in a database, allowing systems to maintain more column data in memory while keeping access delays acceptable. The patent discusses various dictionary compression variants that utilize different techniques and implementation options. Some variants offer more aggressive compression, resulting in reduced memory consumption but slower run-time performance. Conversely, other variants provide less aggressive compression, leading to higher memory consumption but faster run-time performance. Additionally, the patent introduces a compression manager that can automatically select the most suitable dictionary compression variant for a given column based on predicted run-time performance and compressed dictionary size.

Career Highlights

Ingo Mueller is currently employed at SAP SE, where he continues to develop innovative solutions in database technology. His work at SAP has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to the industry.

Collaborations

Some of Ingo Mueller's coworkers include Arnaud Lacurie and Cornelius Ratsch. Their collaboration has likely fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Ingo Mueller's work in adaptive dictionary compression represents a significant advancement in database technology. His contributions have the potential to improve memory efficiency and performance in column-store databases, making him a key figure in the field of innovation.