What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Database
His main research concerns Distributed computing, Query optimization, Database, Query language and Wireless sensor network.
Particularly relevant to Fault tolerance is his body of work in Distributed computing.
Joseph M. Hellerstein focuses mostly in the field of Fault tolerance, narrowing it down to matters related to Network congestion and, in some cases, Asynchronous communication, Machine learning, Artificial intelligence and Software versioning.
The concepts of his Query optimization study are interwoven with issues in Programming language, SQL, Query expansion and View.
His Database research is multidisciplinary, incorporating perspectives in Overlay network, Interface, Data reduction and Scripting language.
The Wireless sensor network study combines topics in areas such as Wireless, Data collection, Data acquisition, Key distribution in wireless sensor networks and Real-time computing.
His most cited work include:
- TAG: a Tiny AGgregation service for Ad-Hoc sensor networks (2753 citations)
- TinyDB: an acquisitional query processing system for sensor networks (1799 citations)
- Distributed GraphLab: a framework for machine learning and data mining in the cloud (1380 citations)
What are the main themes of his work throughout his whole career to date?
Joseph M. Hellerstein mainly focuses on Distributed computing, Database, Query optimization, Theoretical computer science and Data mining.
Joseph M. Hellerstein is studying Fault tolerance, which is a component of Distributed computing.
The study incorporates disciplines such as Query language, Query expansion, SQL and View in addition to Query optimization.
His Theoretical computer science research includes elements of Tree and Programming language.
His research investigates the link between Data mining and topics such as Probabilistic logic that cross with problems in Statistical model.
His Wireless sensor network study incorporates themes from Wireless, Key distribution in wireless sensor networks and Optimization problem.
He most often published in these fields:
- Distributed computing (28.93%)
- Database (16.04%)
- Query optimization (13.84%)
What were the highlights of his more recent work (between 2012-2021)?
- Distributed computing (28.93%)
- Consistency (3.46%)
- Scalability (7.55%)
In recent papers he was focusing on the following fields of study:
Joseph M. Hellerstein focuses on Distributed computing, Consistency, Scalability, Cloud computing and Data science.
He studies Fault tolerance which is a part of Distributed computing.
He usually deals with Consistency and limits it to topics linked to Distributed data store and Taxonomy, Unavailability and Isolation.
His Scalability research focuses on Correctness and how it connects with Range.
His Cloud computing research incorporates elements of Software system and Software.
His Data science research incorporates themes from Test, Open research and Data management.
Between 2012 and 2021, his most popular works were:
- Bolt-on causal consistency (173 citations)
- Highly available transactions: virtues and limitations (148 citations)
- Coordination avoidance in database systems (130 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Database
Distributed computing, Cloud computing, Set, Consistency and Scalability are his primary areas of study.
His Distributed computing study combines topics from a wide range of disciplines, such as Debugging and Consistency model, Eventual consistency.
His research in Consistency model tackles topics such as Durability which are related to areas like Data mining.
Joseph M. Hellerstein combines subjects such as Data life cycle and Big data with his study of Cloud computing.
His Set research focuses on Serializability and how it relates to Serialization.
Joseph M. Hellerstein has included themes like Unavailability and Taxonomy in his Consistency study.
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