What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Programming language
His primary areas of study are Database, Query optimization, Theoretical computer science, Workload and Distributed computing.
Online analytical processing, Online transaction processing, Scalability, Database transaction and Database schema are the subjects of his Database studies.
Alfons Kemper has included themes like Cardinality, Query expansion and Heuristic in his Query optimization study.
His research integrates issues of Tuple, Object model, Performance tuning, Relational database and Graph in his study of Theoretical computer science.
His studies in Workload integrate themes in fields like Capacity planning, Enterprise data management, Server and Capacity management.
His study in the field of Load balancing and Distributed Computing Environment is also linked to topics like Skew and Reducer.
His most cited work include:
- HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots (475 citations)
- Multi-tenant databases for software as a service: schema-mapping techniques (283 citations)
- Workload Analysis and Demand Prediction of Enterprise Data Center Applications (267 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Database, Distributed computing, Theoretical computer science, Data mining and Scalability.
His Database study frequently draws parallels with other fields, such as Query expansion.
The study incorporates disciplines such as Service-oriented architecture, Cloud computing and Server in addition to Distributed computing.
His work carried out in the field of Theoretical computer science brings together such families of science as Relational database and Joins.
His Relational database research is multidisciplinary, incorporating elements of Database schema and Database design.
His research investigates the connection between Online transaction processing and topics such as Online analytical processing that intersect with problems in Snapshot.
He most often published in these fields:
- Database (30.84%)
- Distributed computing (14.70%)
- Theoretical computer science (11.24%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (5.48%)
- SQL (5.48%)
- Benchmark (4.03%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, SQL, Benchmark, Joins and Tuple.
Programming language and Database are inherently bound to his SQL studies.
His Database research includes elements of Non-volatile memory, Byte, Data architecture, Declarative programming and Data curation.
In his study, Relational operator, Operator, Data type, Isolation and Online transaction processing is inextricably linked to Concurrency control, which falls within the broad field of Benchmark.
His Joins study incorporates themes from Quadtree, Block, Theoretical computer science and Query optimization.
In his research on the topic of Query optimization, Information retrieval is strongly related with Cardinality.
Between 2017 and 2021, his most popular works were:
- Learned Cardinalities: Estimating Correlated Joins with Deep Learning (67 citations)
- Query optimization through the looking glass, and what we found running the Join Order Benchmark (56 citations)
- Managing Non-Volatile Memory in Database Systems (46 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Programming language
Alfons Kemper mainly focuses on Artificial intelligence, Benchmark, Machine learning, Index and Cardinality.
In most of his Artificial intelligence studies, his work intersects topics such as Distributed computing.
In his work, Big data, Concurrency control, Relational operator, Tree and Operator is strongly intertwined with Set, which is a subfield of Benchmark.
His Cardinality research incorporates themes from SQL and Query optimization.
His Relational database study combines topics in areas such as Theoretical computer science, Tuple and Joins.
His Tuple study incorporates themes from Database, Cache, Non-volatile memory, Byte and Data architecture.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
