What is he best known for?
The fields of study he is best known for:
- Operating system
- Database
- Programming language
Distributed computing, Snapshot isolation, Serializability, Concurrency control and Consistency are his primary areas of study.
His Distributed computing research incorporates elements of Snapshot, Serialization, Database transaction, Transaction processing and Correctness.
The Database transaction study combines topics in areas such as Schedule, Commit and Data mining.
His study looks at the intersection of Correctness and topics like Communication in small groups with Distributed algorithm, Reliability and Fault tolerance.
As a part of the same scientific study, he usually deals with the Snapshot isolation, concentrating on Concurrency and frequently concerns with Multiversion concurrency control.
Within one scientific family, Alan Fekete focuses on topics pertaining to Isolation under Consistency, and may sometimes address concerns connected to Taxonomy, Unavailability and Distributed data store.
His most cited work include:
- Making snapshot isolation serializable (257 citations)
- MDCC: multi-data center consistency (191 citations)
- Problem-Based Learning for Foundation Computer Science Courses (159 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Distributed computing, Concurrency control, Database, Correctness and Cloud computing.
The various areas that he examines in his Distributed computing study include Serializability, Database transaction, Isolation, Optimistic concurrency control and Computer network.
His Database transaction research includes themes of Scalability and Commit.
His study in Concurrency control is interdisciplinary in nature, drawing from both Concurrency and Serialization.
His Serialization research includes elements of Consistency and Data integrity.
The study incorporates disciplines such as Nested transaction, Replication, Theoretical computer science and Atomicity in addition to Correctness.
He most often published in these fields:
- Distributed computing (40.43%)
- Concurrency control (20.21%)
- Database (13.83%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (40.43%)
- Cloud computing (15.43%)
- Database (13.83%)
In recent papers he was focusing on the following fields of study:
Alan Fekete mainly focuses on Distributed computing, Cloud computing, Database, Serialization and Concurrency control.
His work carried out in the field of Distributed computing brings together such families of science as Virtual machine, Scalability, Upgrade, Database transaction and Scheduling.
His study on Cloud data management is often connected to Benchmarking as part of broader study in Cloud computing.
His Database research is multidisciplinary, incorporating elements of Cloud storage, Correctness and Benchmark.
His Concurrency control research integrates issues from Serializability, Isolation, Data integrity and Concurrency.
His Isolation research is multidisciplinary, relying on both Multiversion concurrency control and Data consistency.
Between 2013 and 2021, his most popular works were:
- Coordination avoidance in database systems (130 citations)
- Scalable atomic visibility with RAMP transactions (90 citations)
- Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity (45 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Database
- Programming language
His main research concerns Distributed computing, Database, Database transaction, Scalability and Cloud computing.
The Distributed computing study combines topics in areas such as Virtual machine, Serialization, Earliest deadline first scheduling, Rate-monotonic scheduling and Scheduling.
His studies in Database integrate themes in fields like Correctness and Benchmark.
His work in Database transaction addresses subjects such as Commit, which are connected to disciplines such as Online transaction processing and Serializability.
His research in Cloud computing intersects with topics in Web application and Optimization problem.
His work is dedicated to discovering how Data integrity, Concurrency are connected with Concurrency control and other disciplines.
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