Distributed Traffic Flow Consolidation for Power Efficiency of Large-scale Data Center Network

2020 ◽  
pp. 1-1
Author(s):  
Kuangyu Zheng ◽  
Xiaorui Wang ◽  
Jia Liu
Keyword(s):  
Traffic Flow ◽  
Data Center ◽  
Power Efficiency ◽  
Large Scale ◽  
Data Center Network ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Examination of WAN traffic characteristics in a large-scale data center network

2021 ◽  
Author(s):  
Zhaohua Wang ◽  
Zhenyu Li ◽  
Guangming Liu ◽  
Yunfei Chen ◽  
Qinghua Wu ◽  
...  
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Data Center Network ◽  
Traffic Characteristics ◽  
Large Scale Data ◽  
Scale Data

A CLASS OF DATA-CENTER NETWORK MODELS OFFERING SYMMETRY, SCALABILITY, AND RELIABILITY

2012 ◽  
Vol 22 (04) ◽  
pp. 1250013 ◽  
Author(s):  
WENJUN XIAO ◽  
HUOMIN LIANG ◽  
BEHROOZ PARHAMI
Keyword(s):  
Data Center ◽  
Large Scale ◽  
Network Models ◽  
Performance Criteria ◽  
Data Center Network ◽  
New Class ◽  
Large Scale Data ◽  
Communication Algorithms ◽  
Efficient Communication ◽  
Scale Data

We propose a symmetrical scheme, by drawing results from group theory, and use it to build a new class of data center network models. The results are superior to current network models with respect to a number of performance criteria. Greater symmetry in networks is important, as it leads to simpler structure and more efficient communication algorithms. It also tends to produce better scalability and greater fault tolerance. Our models are general and are expected to find many applications, but they are particularly suitable for large-scale data-center networks.

TrafficBERT: Pre-trained model with large-scale data for long-range traffic flow forecasting

2021 ◽  
pp. 115738
Author(s):  
KyoHoon Jin ◽  
JeongA Wi ◽  
EunJu Lee ◽  
ShinJin Kang ◽  
SooKyun Kim ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Long Range ◽  
Large Scale ◽  
Traffic Flow Forecasting ◽  
Large Scale Data ◽  
Scale Data
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