What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Database
His primary areas of study are Information retrieval, XML, Theoretical computer science, XPath and Streaming XML.
His Information retrieval study integrates concerns from other disciplines, such as Online advertising and Web page.
His work in the fields of Online advertising, such as Contextual advertising, intersects with other areas such as Selection and User experience design.
His Theoretical computer science research is multidisciplinary, relying on both Closure, Fragment, Data mining, XPath 2.0 and Bottleneck.
The various areas that Marcus Fontoura examines in his XPath study include Tree traversal and Factor.
His work on XQuery is typically connected to Tuple as part of general Streaming XML study, connecting several disciplines of science.
His most cited work include:
- A semantic approach to contextual advertising (305 citations)
- Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms (189 citations)
- Robust classification of rare queries using web knowledge (180 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Information retrieval, Set, Theoretical computer science, Data mining and World Wide Web.
His Information retrieval study frequently links to adjacent areas such as Artificial intelligence.
Marcus Fontoura works mostly in the field of Theoretical computer science, limiting it down to topics relating to XML and, in certain cases, Joins and Programming language, as a part of the same area of interest.
His Data mining research focuses on Search engine indexing and how it connects with Index, Parallel computing and Publication.
The Web page, The Internet, Web development and Web application research Marcus Fontoura does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Sample, therefore creating a link between diverse domains of science.
His Web page research is multidisciplinary, incorporating perspectives in Online advertising and Contextual advertising.
He most often published in these fields:
- Information retrieval (27.43%)
- Set (18.58%)
- Theoretical computer science (17.70%)
What were the highlights of his more recent work (between 2016-2021)?
- Cloud computing (10.62%)
- Virtual machine (9.73%)
- Server (7.96%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Cloud computing, Virtual machine, Server, Operating system and Computer network.
Marcus Fontoura has included themes like Node and Embedded system in his Cloud computing study.
In his study, Interface and Upgrade is inextricably linked to Distributed computing, which falls within the broad field of Virtual machine.
His research investigates the link between Server and topics such as Workload that cross with problems in Exploit.
His work in the fields of Operating system, such as Offset, overlaps with other areas such as Operating life, Service level objective and Lower cost.
His studies deal with areas such as Class, Theoretical computer science, Set and Cache as well as Equivalence class.
Between 2016 and 2021, his most popular works were:
- Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms (189 citations)
- Toward ML-centric cloud platforms (11 citations)
- Resource oversubscription based on utilization patterns in computing systems (5 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Database
Marcus Fontoura mainly investigates Virtual machine, Cloud computing, Operating system, Distributed computing and Resource.
His Virtual machine research includes themes of Scheme and Leverage.
His biological study spans a wide range of topics, including Value, IOPS, Resource management, Input/output and Node.
His study in the fields of Cloud computing systems, Server and Workload under the domain of Operating system overlaps with other disciplines such as Resource.
His Distributed computing research includes elements of Set, Interface and Upgrade.
Among his Resource studies, you can observe a synthesis of other disciplines of science such as Resource utilization, Function and Computing systems.
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