What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Artificial intelligence
The scientist’s investigation covers issues in Operating system, Virtual machine, Distributed computing, Cloud computing and Embedded system.
His work in the fields of Operating system, such as Virtualization, Scheduling, Cloud gaming and Rootkit, overlaps with other areas such as Introspection.
His Virtual machine research is multidisciplinary, incorporating elements of Synchronization, Intrusion detection system and Atomicity.
As a part of the same scientific family, he mostly works in the field of Distributed computing, focusing on Ant colony optimization algorithms and, on occasion, Multi-objective optimization, Genetic algorithm and Process.
His Cloud computing study combines topics from a wide range of disciplines, such as Resource allocation, Data center and Data science.
While the research belongs to areas of Embedded system, Haibing Guan spends his time largely on the problem of Overhead, intersecting his research to questions surrounding Executable, Control flow and Path.
His most cited work include:
- A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (415 citations)
- High performance network virtualization with SR-IOV (134 citations)
- SYNC or ASYNC: time to fuse for distributed graph-parallel computation (83 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Operating system, Virtualization, Virtual machine, Cloud computing and Distributed computing.
The concepts of his Virtualization study are interwoven with issues in Scalability and Embedded system.
His Virtual machine research focuses on subjects like Scheduling, which are linked to Central processing unit.
His Cloud computing study integrates concerns from other disciplines, such as Workload and Computer network, Server.
His Distributed computing research includes elements of Data center, Resource allocation and Energy consumption.
He combines subjects such as Process and Parallel computing with his study of Overhead.
He most often published in these fields:
- Operating system (33.46%)
- Virtualization (26.62%)
- Virtual machine (24.33%)
What were the highlights of his more recent work (between 2018-2021)?
- Cloud computing (22.81%)
- Operating system (33.46%)
- Virtualization (26.62%)
In recent papers he was focusing on the following fields of study:
Haibing Guan mainly focuses on Cloud computing, Operating system, Virtualization, Distributed computing and Virtual machine.
His Cloud computing research incorporates themes from Cryptography, Embedded system, Software and Computer network, Server.
His work in Operating system tackles topics such as Programming paradigm which are related to areas like Runtime system, Java, SPARK and Scope.
His work on Full virtualization as part of general Virtualization research is often related to NVM Express, thus linking different fields of science.
His research in Distributed computing intersects with topics in Data center, Reduction, Resource allocation and Dynamic priority scheduling.
His Virtual machine study combines topics in areas such as State, Consistency, Protocol, Synchronization and Scheduling.
Between 2018 and 2021, his most popular works were:
- PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs (32 citations)
- Object Guided External Memory Network for Video Object Detection (24 citations)
- Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks (14 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Artificial intelligence
Cloud computing, Computer architecture, Scalability, Virtualization and Quality of service are his primary areas of study.
His Cloud computing research incorporates elements of Virtual machine, Distributed computing, Embedded system and Server.
His Virtual machine study incorporates themes from Scheme, Bandwidth, Data center and Efficient energy use.
The study incorporates disciplines such as Cloud gaming and Heuristic in addition to Distributed computing.
He interconnects Networking hardware, Full virtualization, Virtual network, Network virtualization and Network interface in the investigation of issues within Embedded system.
His Scalability research includes themes of Data security, Cryptography, Memory management, Secure communication and Key distribution.
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