What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
His primary areas of study are Computer network, Distributed computing, The Internet, Approximation algorithm and Combinatorics.
His Computer network study combines topics in areas such as Resource budget, Aperiodic graph and Heuristics.
His study in the field of Distributed algorithm is also linked to topics like Web cache.
His work on Web server and Internet traffic is typically connected to Constraint and Distance transform as part of general The Internet study, connecting several disciplines of science.
Danny Raz has included themes like Generalized assignment problem, Knapsack problem, P versus NP problem, Combinatorial optimization and Job shop scheduling in his Approximation algorithm study.
His research integrates issues of Discrete mathematics, Simple and Continuous knapsack problem in his study of Combinatorics.
His most cited work include:
- IDMaps: a global internet host distance estimation service (501 citations)
- Near optimal placement of virtual network functions (361 citations)
- The cache location problem (353 citations)
What are the main themes of his work throughout his whole career to date?
Danny Raz mainly investigates Computer network, Distributed computing, Cloud computing, Approximation algorithm and The Internet.
His work on Optimization problem expands to the thematically related Computer network.
Danny Raz has researched Distributed computing in several fields, including Network topology, Scheduling, Resource allocation and Quality of service.
His work carried out in the field of Cloud computing brings together such families of science as Virtual machine, Task, Data center and Operations research.
His Approximation algorithm research incorporates elements of Cellular network and Base station.
His work on Web server as part of his general The Internet study is frequently connected to Constraint, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Computer network (47.49%)
- Distributed computing (43.02%)
- Cloud computing (16.76%)
What were the highlights of his more recent work (between 2014-2021)?
- Cloud computing (16.76%)
- Distributed computing (43.02%)
- Server (12.29%)
In recent papers he was focusing on the following fields of study:
Danny Raz mainly focuses on Cloud computing, Distributed computing, Server, Computer network and Approximation algorithm.
His Cloud computing research is multidisciplinary, relying on both Data center, Service provider, Resource allocation and Operations research.
Distributed management is the focus of his Distributed computing research.
His Server research includes themes of Edge device, Software-defined networking, Wireless network, Virtual network and Base station.
Danny Raz integrates Computer network and Cognitive network in his studies.
His Approximation algorithm study integrates concerns from other disciplines, such as Set, Reliability, Active networking and Flow network.
Between 2014 and 2021, his most popular works were:
- Near optimal placement of virtual network functions (361 citations)
- Approximation algorithms for the NFV service distribution problem (65 citations)
- CogNet: A network management architecture featuring cognitive capabilities (22 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His main research concerns Distributed computing, Cloud computing, Virtual network, Server and Computer network.
His research in Distributed computing intersects with topics in Network management, Queueing theory and Critical path method.
Danny Raz interconnects Scalability and Approximation algorithm in the investigation of issues within Cloud computing.
The Virtual network study combines topics in areas such as Network performance, CPU time, Network packet, De facto standard and Throughput.
His Server research is multidisciplinary, incorporating elements of Forwarding plane, Packet processing, Reliability and Flow network.
His studies link Data modeling with Computer network.
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