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CLC number: TP393.0
On-line Access: 2022-12-14
Received: 2022-05-18
Revision Accepted: 2022-10-11
Crosschecked: 2022-12-17
Cited: 0
Clicked: 1178
Citations: Bibtex RefMan EndNote GB/T7714
Technology trends in large-scale high-efficiency network computing
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Jinshu SU, Baokang ZHAO, Yi DAI, Jijun CAO, Ziling WEI, Na ZHAO, Congxi SONG, Yujing LIU, Yusheng XIA. Technology trends in large-scale high-efficiency network computing[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(12): 1733-1746.
@article{title="Technology trends in large-scale high-efficiency network computing",
author="Jinshu SU, Baokang ZHAO, Yi DAI, Jijun CAO, Ziling WEI, Na ZHAO, Congxi SONG, Yujing LIU, Yusheng XIA",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="12",
pages="1733-1746",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200217"
}
%0 Journal Article
%T Technology trends in large-scale high-efficiency network computing
%A Jinshu SU
%A Baokang ZHAO
%A Yi DAI
%A Jijun CAO
%A Ziling WEI
%A Na ZHAO
%A Congxi SONG
%A Yujing LIU
%A Yusheng XIA
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 12
%P 1733-1746
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200217
TY - JOUR
T1 - Technology trends in large-scale high-efficiency network computing
A1 - Jinshu SU
A1 - Baokang ZHAO
A1 - Yi DAI
A1 - Jijun CAO
A1 - Ziling WEI
A1 - Na ZHAO
A1 - Congxi SONG
A1 - Yujing LIU
A1 - Yusheng XIA
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 12
SP - 1733
EP - 1746
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2200217
Abstract: network technology is the basis for large-scale high-efficiency network computing, such as supercomputing, cloud computing, big data processing, and artificial intelligence computing. The network technologies of network computing systems in different fields not only learn from each other but also have targeted design and optimization. Considering it comprehensively, three development trends, i.e., integration, differentiation, and optimization, are summarized in this paper for network technologies in different fields. Integration reflects that there are no clear boundaries for network technologies in different fields, differentiation reflects that there are some unique solutions in different application fields or innovative solutions under new application requirements, and optimization reflects that there are some optimizations for specific scenarios. This paper can help academic researchers consider what should be done in the future and industry personnel consider how to build efficient practical network systems.
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