What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
The scientist’s investigation covers issues in Distributed computing, Quality of service, Computer network, Routing and Mathematical optimization.
His Distributed computing research incorporates themes from Link-state routing protocol, Routing protocol and Computational complexity theory.
His Quality of service study combines topics in areas such as Node, Unicast, Multicast and Open Shortest Path First.
His Routing research is multidisciplinary, relying on both Network management, Network topology, Network performance and Flow network.
His work in the fields of Mathematical optimization, such as Nash equilibrium, overlaps with other areas such as Uniqueness.
Ariel Orda has researched Nash equilibrium in several fields, including Counterexample and Price of anarchy.
His most cited work include:
- Competitive routing in multiuser communication networks (515 citations)
- QoS Routing Mechanisms and OSPF Extensions (488 citations)
- Shortest-path and minimum-delay algorithms in networks with time-dependent edge-length (426 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Computer network, Mathematical optimization, Quality of service and Routing.
The concepts of his Distributed computing study are interwoven with issues in Scalability, Resource allocation, Network topology, Cloud computing and Routing protocol.
Computer network connects with themes related to Approximation algorithm in his study.
His Mathematical optimization research focuses on Game theory and how it relates to Price of anarchy and The Internet.
While the research belongs to areas of Quality of service, he spends his time largely on the problem of Node, intersecting his research to questions surrounding Algorithm.
His study focuses on the intersection of Nash equilibrium and fields such as Network performance with connections in the field of Network management.
He most often published in these fields:
- Distributed computing (42.78%)
- Computer network (42.78%)
- Mathematical optimization (26.80%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (42.78%)
- Computer network (42.78%)
- Load balancing (7.73%)
In recent papers he was focusing on the following fields of study:
Ariel Orda mainly focuses on Distributed computing, Computer network, Load balancing, Cloud computing and Mathematical optimization.
His Distributed computing research includes themes of Resource allocation, Network topology, Logical topology, Completion time and Shared resource.
He works mostly in the field of Computer network, limiting it down to topics relating to Heterogeneous network and, in certain cases, Multi-agent system, Complex network and Reliability, as a part of the same area of interest.
His Load balancing study incorporates themes from Cooperative game theory, Queue and Server.
His Mathematical optimization study frequently intersects with other fields, such as Routing.
His study looks at the intersection of Quality of service and topics like Spanning tree with Tree, Steiner tree problem and Node.
Between 2013 and 2021, his most popular works were:
- dRMT: Disaggregated Programmable Switching (56 citations)
- Minimum Energy Routing and Jamming to Thwart Wireless Network Eavesdroppers (34 citations)
- Network formation games with heterogeneous players and the internet structure (22 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
His primary scientific interests are in Distributed computing, Computer network, Cloud computing, Quality of service and Survivability.
His work often combines Distributed computing and Load management studies.
His Policy-based routing, Node and Dynamic Source Routing study in the realm of Computer network connects with subjects such as Energy consumption.
He combines subjects such as Virtual machine and Load balancing with his study of Cloud computing.
His Load balancing study combines topics from a wide range of disciplines, such as Testbed, Real-time computing and Traffic engineering.
His Quality of service study integrates concerns from other disciplines, such as Fault tolerance, Unicast, Bottleneck and Spanning tree.
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