What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Kaoru Ota mostly deals with Computer network, Wireless sensor network, Efficient energy use, Energy consumption and Real-time computing.
His studies deal with areas such as Computer security, Cloud computing, The Internet and Vehicular ad hoc network as well as Computer network.
His work investigates the relationship between Cloud computing and topics such as Mobile telephony that intersect with problems in Sense.
His work deals with themes such as Key distribution in wireless sensor networks and Access control, which intersect with Wireless sensor network.
His Efficient energy use research includes elements of Distributed computing, Optimization problem and Resource allocation.
The concepts of his Real-time computing study are interwoven with issues in Smart meter, Reliability and Electrical load.
His most cited work include:
- Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (595 citations)
- ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks (176 citations)
- Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks (151 citations)
What are the main themes of his work throughout his whole career to date?
Kaoru Ota spends much of his time researching Computer network, Distributed computing, Cloud computing, Wireless sensor network and Computer security.
His Computer network study which covers Energy consumption that intersects with Efficient energy use.
His Distributed computing research is multidisciplinary, incorporating elements of Virtual machine, Resource allocation, Encryption, Optimization problem and Big data.
The various areas that Kaoru Ota examines in his Resource allocation study include Cellular network and Mathematical optimization.
The study incorporates disciplines such as Scalability, Enhanced Data Rates for GSM Evolution and Server in addition to Cloud computing.
His Wireless sensor network study combines topics from a wide range of disciplines, such as Node, Key distribution in wireless sensor networks, Real-time computing and Routing protocol.
He most often published in these fields:
- Computer network (38.87%)
- Distributed computing (23.89%)
- Cloud computing (19.03%)
What were the highlights of his more recent work (between 2019-2021)?
- Distributed computing (23.89%)
- Edge computing (10.12%)
- Cloud computing (19.03%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Distributed computing, Edge computing, Cloud computing, Computer network and Big data.
Kaoru Ota has included themes like Wireless network, Software, Optimization problem and Resource allocation in his Distributed computing study.
His Resource allocation research incorporates elements of Load balancing, Server and Operations research.
His Edge computing study integrates concerns from other disciplines, such as Data modeling, Mobile edge computing, Deep learning, Blockchain and Base station.
In the subject of general Cloud computing, his work in Cloud computing security is often linked to Scale, thereby combining diverse domains of study.
His study in the field of Network packet also crosses realms of Data collection.
Between 2019 and 2021, his most popular works were:
- Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: Integration of Blockchain and Edge Computing (61 citations)
- Adaptive data and verified message disjoint security routing for gathering big data in energy harvesting networks (51 citations)
- Multimedia Processing Pricing Strategy in GPU-Accelerated Cloud Computing (32 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary areas of investigation include Distributed computing, Resource allocation, Cloud computing, Virtualization and Edge computing.
He undertakes multidisciplinary investigations into Distributed computing and Sleep mode in his work.
His Resource allocation research is multidisciplinary, incorporating perspectives in Quality, Convergence, Wireless network, Load balancing and Server.
Kaoru Ota integrates Cloud computing with Scale in his research.
His work carried out in the field of Virtualization brings together such families of science as Node, Software and Packet analyzer.
His work on Edge computing is being expanded to include thematically relevant topics such as Operations research.
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