What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- The Internet
His primary areas of investigation include Computer network, Server, Distributed computing, Data center and Interconnection.
His Computer network study combines topics in areas such as Wireless network and Throughput.
When carried out as part of a general Server research project, his work on Data center network architectures is frequently linked to work in Container, therefore connecting diverse disciplines of study.
His research integrates issues of Fault tolerance and Port in his study of Data center network architectures.
Chuanxiong Guo has included themes like Network topology and Job scheduler in his Distributed computing study.
In his work, Node is strongly intertwined with Scalability, which is a subfield of Interconnection.
His most cited work include:
- BCube: a high performance, server-centric network architecture for modular data centers (1328 citations)
- Dcell: a scalable and fault-tolerant network structure for data centers (894 citations)
- SecondNet: a data center network virtualization architecture with bandwidth guarantees (557 citations)
What are the main themes of his work throughout his whole career to date?
Chuanxiong Guo mainly focuses on Computer network, Distributed computing, Data center, Server and Network packet.
His Computer network study deals with Scalability intersecting with Interconnection.
His Distributed computing research incorporates themes from Tree, Scheduling, Cloud computing and Throughput.
His Data center research incorporates elements of Queue, Ethernet, Real-time computing and Routing protocol.
His research integrates issues of Port, Bandwidth, Latency and Backup in his study of Server.
His Network packet research includes elements of Host and Cache.
He most often published in these fields:
- Computer network (64.65%)
- Distributed computing (33.33%)
- Data center (26.26%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer network (64.65%)
- Distributed computing (33.33%)
- Data center (26.26%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Distributed computing, Data center, Artificial intelligence and Server.
His Computer network study typically links adjacent topics like Throughput.
His work in the fields of Distributed computing, such as OpenFlow, overlaps with other areas such as Unavailability.
His Data center study combines topics from a wide range of disciplines, such as Deadlock prevention algorithms, Remote direct memory access and Network packet.
He has researched Artificial intelligence in several fields, including Process and Computer vision.
His studies deal with areas such as Testbed, Job scheduler, Orchestration and Job shop scheduling as well as Server.
Between 2016 and 2021, his most popular works were:
- Optimus: an efficient dynamic resource scheduler for deep learning clusters (129 citations)
- A generic communication scheduler for distributed DNN training acceleration (81 citations)
- Orchestrating Bulk Data Transfers across Geo-Distributed Datacenters (61 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- The Internet
His primary areas of study are Distributed computing, Observability, Artificial intelligence, Deep learning and Cloud computing.
His Distributed computing study incorporates themes from Remote direct memory access, Bayesian optimization, Source code, Scheduling and Partition.
Panorama, Indirection, Unavailability, If and only if and Notice are fields of study that intersect with his Observability study.
His Artificial intelligence research is multidisciplinary, incorporating elements of Job scheduler, GPU cluster and Parallel computing.
His Deep learning research is multidisciplinary, relying on both Orchestration, Server and Job shop scheduling.
His research in Cloud computing intersects with topics in Bridging, Real-time computing, OpenFlow and Big data.
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