What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
Seif Haridi focuses on Distributed computing, Programming language, Parallel computing, Prolog and Shared memory.
His Distributed computing study incorporates themes from Computer network, Scalability, Cloud computing and Dataflow.
His research in Computer network tackles topics such as Joins which are related to areas like Overlay network.
His Programming language study frequently intersects with other fields, such as Theoretical computer science.
As part of one scientific family, Seif Haridi deals mainly with the area of Parallel computing, narrowing it down to issues related to the Memory management, and often Computer architecture.
Seif Haridi usually deals with Shared memory and limits it to topics linked to Distributed shared memory and Distributed memory.
His most cited work include:
- Apache flink : Stream and batch processing in a single engine (644 citations)
- Concepts, Techniques, and Models of Computer Programming (292 citations)
- Efficient broadcast in structured P2P networks (201 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Distributed computing, Programming language, Overlay network, Computer network and Scalability.
The concepts of his Distributed computing study are interwoven with issues in Node and Joins.
His Programming language study often links to related topics such as Theoretical computer science.
In Overlay network, Seif Haridi works on issues like Overlay, which are connected to Chord.
His study in Scalability is interdisciplinary in nature, drawing from both Metadata and File system.
His research in Prolog intersects with topics in Heap, Concurrent logic programming and Parallel computing.
He most often published in these fields:
- Distributed computing (41.45%)
- Programming language (21.37%)
- Overlay network (19.66%)
What were the highlights of his more recent work (between 2014-2021)?
- File system (3.85%)
- Scalability (15.38%)
- Programming language (21.37%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include File system, Scalability, Programming language, Distributed computing and Metadata.
His File system study also includes
- Distributed File System which intersects with area such as Small files,
- Distributed database and related Server and Data modeling.
His Scalability research integrates issues from Data stream mining and Parallel computing.
His Distributed computing study frequently draws connections to adjacent fields such as Analytics.
His work in Metadata covers topics such as Block which are related to areas like Computer network, Cloud computing, Replication, Latency and Object.
Seif Haridi combines subjects such as Overlay and User experience design with his study of Computer network.
Between 2014 and 2021, his most popular works were:
- Apache flink : Stream and batch processing in a single engine (644 citations)
- State management in Apache Flink®: consistent stateful distributed stream processing (91 citations)
- Lightweight Asynchronous Snapshots for Distributed Dataflows (48 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Seif Haridi mainly focuses on Scalability, Database, Operating system, Stream processing and Theoretical computer science.
The various areas that he examines in his Scalability study include Boosting, File system and Parallel computing.
His work on Failover as part of general Database study is frequently connected to NewSQL, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Stream processing study introduces a deeper knowledge of Distributed computing.
His Distributed computing study frequently links to other fields, such as Asynchrony.
His work deals with themes such as Graph partition and Graph, which intersect with Theoretical computer science.
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