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 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.
His primary areas of investigation include File system, Scalability, Programming language, Distributed computing and Metadata. His File system study also includes
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.
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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Apache flink : Stream and batch processing in a single engine
Paris Carbone;Asterios Katsifodimos;Stephan Ewen;Volker Markl.
IEEE Data(base) Engineering Bulletin (2015)
Concepts, Techniques, and Models of Computer Programming
Peter Van Roy;Seif Haridi.
DDM-a cache-only memory architecture
Erik Hagersten;Anders Landin;Seif Haridi.
IEEE Computer (1992)
The Aurora or-parallel Prolog system
E. Lusk;R. Butler;T. Disz;R. Olson.
New Generation Computing (1990)
Efficient broadcast in structured P2P networks
Sameh El-Ansary;Luc Onana Alima;Per Brand;Seif Haridi.
international workshop on peer to peer systems (2003)
Peer-to-Peer resource discovery in Grids: Models and systems
P. Trunfio;D. Talia;H. Papadakis;P. Fragopoulou.
Future Generation Computer Systems (2007)
Programming paradigms of the Andorra Kernel Language
Sverker Janson;Seif Haridi.
The essence of P2P: a reference architecture for overlay networks
K. Aberer;L.O. Alima;A. Ghodsi;S. Girdzijauskas.
international conference on peer-to-peer computing (2005)
Mobile objects in distributed Oz
Peter Van Roy;Seif Haridi;Per Brand;Gert Smolka.
ACM Transactions on Programming Languages and Systems (1997)
DKS(N, k, f): a family of low communication, scalable and fault-tolerant infrastructures for P2P applications
L.O. Alimal;S. El-Ansary;P. Brand;S. Haridi.
cluster computing and the grid (2003)
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