What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Database
Data stream mining, Distributed computing, World Wide Web, Cache and Information retrieval are his primary areas of study.
His Data stream mining research incorporates elements of Query expansion, RDF query language and Database.
His Distributed computing research incorporates themes from Real-time computing, Adaptive filter, Overhead and Synthetic data.
His work on Hyperlink, Web crawler and Spamdexing as part of general World Wide Web study is frequently linked to Work, bridging the gap between disciplines.
Christopher Olston has researched Cache in several fields, including Synchronization, Data synchronization and Scheduling.
Christopher Olston works mostly in the field of Information retrieval, limiting it down to concerns involving Data science and, occasionally, Query optimization and Query language.
His most cited work include:
- Pig latin: a not-so-foreign language for data processing (1762 citations)
- Query Processing, Approximation, and Resource Management in a Data Stream Management System. (447 citations)
- Adaptive filters for continuous queries over distributed data streams (438 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Information retrieval, Database, Distributed computing, World Wide Web and Web page.
His work in the fields of Search engine and Query language overlaps with other areas such as Context.
His Database research incorporates elements of Data stream mining, Data mining and Cache.
His Cache research is multidisciplinary, incorporating perspectives in Scalability and Theoretical computer science.
His work carried out in the field of Scalability brings together such families of science as Web application, Programming language, SQL and Encryption.
His Distributed computing research includes elements of Real-time computing, Scheduling, Overhead and Cloud computing.
He most often published in these fields:
- Information retrieval (26.44%)
- Database (21.84%)
- Distributed computing (18.39%)
What were the highlights of his more recent work (between 2010-2020)?
- World Wide Web (17.24%)
- Dataflow (8.05%)
- Operating system (3.45%)
In recent papers he was focusing on the following fields of study:
Christopher Olston mainly investigates World Wide Web, Dataflow, Operating system, Database and Cloud computing.
Christopher Olston has included themes like Data flow diagram, Simulation and Big data in his World Wide Web study.
The study incorporates disciplines such as Instrumentation, Debugging, Workflow and Gadget in addition to Dataflow.
Christopher Olston regularly ties together related areas like Index in his Database studies.
His studies in Cloud computing integrate themes in fields like Scalability, Distributed computing and Service.
Information retrieval is closely connected to Column in his research, which is encompassed under the umbrella topic of Metadata.
Between 2010 and 2020, his most popular works were:
- Nova: continuous Pig/Hadoop workflows (114 citations)
- Goods: Organizing Google's Datasets (105 citations)
- TensorFlow-Serving: Flexible, High-Performance ML Serving (76 citations)
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