What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- The Internet
The scientist’s investigation covers issues in Grid computing, Distributed computing, Data science, Semantic grid and Cloud computing.
His work deals with themes such as Service-oriented architecture and The Internet, which intersect with Grid computing.
The Distributed computing study combines topics in areas such as Node, Complex system, Scalability and Interface.
His Data science research is multidisciplinary, incorporating elements of Process and Artificial intelligence.
Domenico Talia studied Semantic grid and Services computing that intersect with Software.
His Cloud computing research is multidisciplinary, relying on both Business intelligence, Programming paradigm and Software agent.
His most cited work include:
- Models and languages for parallel computation (338 citations)
- The knowledge grid (280 citations)
- Peer-to-Peer resource discovery in Grids: Models and systems (187 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Distributed computing, Data mining, Grid computing, Scalability and Cloud computing.
His studies in Distributed computing integrate themes in fields like Protocol, Programming paradigm and Cellular automaton.
In his study, which falls under the umbrella issue of Data mining, Data set is strongly linked to Cluster analysis.
His Grid computing research incorporates elements of Distributed knowledge, Semantic grid, Knowledge extraction and Data science.
His Data science study integrates concerns from other disciplines, such as Process and Data analysis.
His studies deal with areas such as Workflow and Big data as well as Cloud computing.
He most often published in these fields:
- Distributed computing (32.41%)
- Data mining (22.71%)
- Grid computing (21.61%)
What were the highlights of his more recent work (between 2013-2021)?
- Cloud computing (14.13%)
- Scalability (18.01%)
- Big data (6.37%)
In recent papers he was focusing on the following fields of study:
Cloud computing, Scalability, Big data, Data science and Distributed computing are his primary areas of study.
His research integrates issues of Process, Knowledge extraction and Workflow, Database in his study of Cloud computing.
His Scalability research incorporates themes from Data modeling, Data stream mining, Data mining, Data analysis and Software.
Domenico Talia interconnects Urban computing, Mobile device and Cluster analysis in the investigation of issues within Data mining.
His Data science study incorporates themes from SPARK and Social media, World Wide Web.
He combines subjects such as Scheduling, Programming paradigm and Implementation with his study of Distributed computing.
Between 2013 and 2021, his most popular works were:
- ServiceSs: An Interoperable Programming Framework for the Cloud (61 citations)
- Mining human mobility patterns from social geo-tagged data (40 citations)
- Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service (35 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- The Internet
Domenico Talia mostly deals with Cloud computing, Scalability, Distributed computing, Big data and Workflow.
His Cloud computing research is multidisciplinary, incorporating perspectives in Real-time computing and Data mining, Knowledge extraction.
In his work, Process is strongly intertwined with Software, which is a subfield of Scalability.
His research in Distributed computing intersects with topics in Exascale computing, Locality, Scheduling, Operating system and Programming paradigm.
He has included themes like Directed acyclic graph, Bulk synchronous parallel and Data science in his Big data study.
His studies deal with areas such as Cloud storage, Urban computing, Data parallelism and Mobile device as well as Workflow.
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