2008 - ACM Software System Award For Gamma, the first embodiment of a parallel, "shared nothing" database system running on a cluster of commodity computers, using data partitioning and innovative parallel query execution strategies.
His primary scientific interests are in Database, Query optimization, Sargable, Programming language and View. Goetz Graefe has included themes like Query by Example, Theoretical computer science and B-tree in his Database study. His Query optimization research incorporates themes from Query plan, Materialized view and Plan.
Goetz Graefe usually deals with Sargable and limits it to topics linked to Query expansion and Web search query. In his work, Logical connective, Object and Path expression is strongly intertwined with Data modeling, which is a subfield of Programming language. His View research includes elements of Relational database, Column and Hash function.
Goetz Graefe spends much of his time researching Database, Query optimization, Data mining, View and Parallel computing. His Set research extends to Database, which is thematically connected. His studies in Query optimization integrate themes in fields like Query by Example, Programming language, Query expansion and Sargable.
Goetz Graefe has included themes like Search engine indexing, Robustness and Index in his Data mining study. His View study focuses on Database tuning in particular. His research integrates issues of Hash join and Joins in his study of Parallel computing.
Database transaction, Database, Backup, Distributed computing and Instant are his primary areas of study. The study incorporates disciplines such as Software and Commit in addition to Database transaction. In the field of Database, his study on View overlaps with subjects such as Processing cost.
He has researched View in several fields, including Query expansion and Web query classification, Online aggregation, Sargable. His Distributed computing research incorporates elements of Concurrency control and Working set. His Materialized view research focuses on Query optimization and how it connects with Web search query.
Goetz Graefe mainly investigates Backup, Database, Distributed computing, Database transaction and Incremental backup. His Backup research is multidisciplinary, incorporating elements of Database server, Rollback, Reboot and Random access. His study in Database is interdisciplinary in nature, drawing from both Reliability engineering and Crash.
His work deals with themes such as Pointer swizzling, Auxiliary memory and Data set, which intersect with Distributed computing. His Database transaction study integrates concerns from other disciplines, such as Software, Real-time computing and Record locking. His research in Incremental backup tackles topics such as Rendering which are related to areas like Computer network.
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Query evaluation techniques for large databases
ACM Computing Surveys (1993)
The Volcano optimizer generator: extensibility and efficient search
G. Graefe;W.J. McKenna.
international conference on data engineering (1993)
Volcano/spl minus/an extensible and parallel query evaluation system
IEEE Transactions on Knowledge and Data Engineering (1994)
GAMMA—a high performance dataflow database machine
David J. DeWitt;Goetz Graefe;Krishna B. Kumar;Robert H. Gerber.
very large data bases (1986)
Encapsulation of parallelism in the Volcano query processing system
international conference on management of data (1990)
The EXODUS optimizer generator
Goetz Graefe;David J. DeWitt.
international conference on management of data (1987)
Multi-table joins through bitmapped join indices
Patrick O'Neil;Goetz Graefe.
international conference on management of data (1995)
The Architecture of the EXODUS Extensible DBMS.
Michael J. Carey;David J. DeWitt;Daniel Frank;Goetz Graefe.
On Object-Oriented Database System (1991)
The Cascades Framework for Query Optimization.
IEEE Data(base) Engineering Bulletin (1995)
The EXODUS extensible DBMS project: an overview
M. J. Carey;David J. DeWitt;G. Graefe;D. M. Haight.
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