What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Christos Gkantsidis mostly deals with Theoretical computer science, Network topology, Linear network coding, Distributed computing and Computer network.
His Theoretical computer science research includes elements of Algorithm, Pathwidth, Flooding and Graph partition.
As part of the same scientific family, Christos Gkantsidis usually focuses on Linear network coding, concentrating on Peer-to-peer and intersecting with Multimedia and Resource allocation.
He combines subjects such as Topology construction, Variety, Content distribution and Wireless mesh network with his study of Distributed computing.
When carried out as part of a general Computer network research project, his work on Network packet and Scheduling is frequently linked to work in Network Access Control and Block, therefore connecting diverse disciplines of study.
His research integrates issues of Overlay network, Web server, The Internet, File server and Heterogeneous network in his study of Scheduling.
His most cited work include:
- Network coding for large scale content distribution (1032 citations)
- Random walks in peer-to-peer networks (509 citations)
- VC3: Trustworthy Data Analytics in the Cloud Using SGX (408 citations)
What are the main themes of his work throughout his whole career to date?
Christos Gkantsidis spends much of his time researching Computer network, Distributed computing, Linear network coding, Peer-to-peer and Network topology.
His Computer network research is multidisciplinary, incorporating elements of Wireless and Wireless mesh network.
His Distributed computing study incorporates themes from Data center, Static routing, Cloud computing and Server.
As part of one scientific family, Christos Gkantsidis deals mainly with the area of Linear network coding, narrowing it down to issues related to the Decoding methods, and often Encoding.
His biological study spans a wide range of topics, including Content distribution, The Internet, Multimedia and Internet privacy.
The concepts of his Network topology study are interwoven with issues in Adjacency matrix and Theoretical computer science.
He most often published in these fields:
- Computer network (46.46%)
- Distributed computing (26.26%)
- Linear network coding (19.19%)
What were the highlights of his more recent work (between 2014-2020)?
- Distributed computing (26.26%)
- Cloud computing (7.07%)
- Encryption (5.05%)
In recent papers he was focusing on the following fields of study:
Christos Gkantsidis mainly focuses on Distributed computing, Cloud computing, Encryption, Data center and Computer security.
His study explores the link between Distributed computing and topics such as Server that cross with problems in Approximation algorithm and Heuristic.
His work deals with themes such as Information privacy, Traffic analysis, Adversary, Plaintext and Information sensitivity, which intersect with Cloud computing.
In his work, Overhead, Correctness, Code and Data integrity is strongly intertwined with Trusted Computing, which is a subfield of Encryption.
The various areas that Christos Gkantsidis examines in his Data center study include Network topology and Data processing.
Much of his study explores Data processing relationship to Computer network.
Between 2014 and 2020, his most popular works were:
- VC3: Trustworthy Data Analytics in the Cloud Using SGX (408 citations)
- Enabling End-Host Network Functions (48 citations)
- Observing and Preventing Leakage in MapReduce (34 citations)
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