What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
Computer network, Distributed computing, Energy consumption, Wavelength-division multiplexing and Efficient energy use are his primary areas of study.
His Computer network research incorporates elements of Passive optical network and Backup.
His work deals with themes such as Node, Server and Heuristic, which intersect with Distributed computing.
His biological study spans a wide range of topics, including Traffic grooming, The Internet and Backbone network.
His Wavelength-division multiplexing research also works with subjects such as
- Multiplexing which connect with Bit error rate,
- Bandwidth together with Flow network, Routing and Traffic flow.
His study in Efficient energy use is interdisciplinary in nature, drawing from both Access network, Telecommunications and Energy conservation.
His most cited work include:
- Energy Efficiency in Telecom Optical Networks (323 citations)
- Optical Network Design With Mixed Line Rates and Multiple Modulation Formats (230 citations)
- An Overview on Application of Machine Learning Techniques in Optical Networks (180 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Distributed computing, Network topology, Wavelength-division multiplexing and Cloud computing.
His Computer network research is multidisciplinary, relying on both Energy consumption, Passive optical network and Backup.
Massimo Tornatore interconnects Routing, Survivability, Service-level agreement, Traffic grooming and Bandwidth in the investigation of issues within Distributed computing.
His work carried out in the field of Network topology brings together such families of science as Network planning and design, Node and Networking hardware.
The various areas that he examines in his Wavelength-division multiplexing study include Multiplexing, Electronic engineering, Optical switch and Transmission.
His work on Virtualization as part of his general Cloud computing study is frequently connected to Baseband, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Computer network (72.69%)
- Distributed computing (28.67%)
- Network topology (20.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer network (72.69%)
- Network topology (20.77%)
- Distributed computing (28.67%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer network, Network topology, Distributed computing, Cloud computing and Virtual network.
In his research on the topic of Computer network, Routing is strongly related with Integer programming.
His studies deal with areas such as Active learning, Machine learning, Reliability, Frequency allocation and Wavelength-division multiplexing as well as Network topology.
His Distributed computing research includes elements of Wireless, Beamforming, Interference and Reinforcement learning.
As a part of the same scientific family, Massimo Tornatore mostly works in the field of Cloud computing, focusing on Scheduling and, on occasion, Virtual machine.
His Virtual network study combines topics from a wide range of disciplines, such as Service provider, Network Functions Virtualization and Network service.
Between 2018 and 2021, his most popular works were:
- An Overview on Application of Machine Learning Techniques in Optical Networks (180 citations)
- A Tutorial on Machine Learning for Failure Management in Optical Networks (21 citations)
- Edge Computing and Networking: A Survey on Infrastructures and Applications (17 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary scientific interests are in Computer network, Network topology, Cloud computing, Artificial intelligence and Machine learning.
He usually deals with Computer network and limits it to topics linked to Integer programming and Routing and Efficient energy use.
His Network topology research focuses on Active learning and how it relates to Estimation, Bit error rate and Transmission.
He has researched Cloud computing in several fields, including Virtual network, Interoperability, Bottleneck, Scheduling and Blocking.
His work on Artificial neural network as part of general Artificial intelligence research is often related to Service level, thus linking different fields of science.
His research investigates the connection with Provisioning and areas like Throughput which intersect with concerns in Distributed computing.
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