Designing Energy-Efficient Data Center Networks Using Space-Time Optical Interconnection Architectures

2013 ◽  
Vol 19 (2) ◽  
pp. 3700209-3700209 ◽  
Author(s):  
I. Cerutti ◽  
P. G. Raponi ◽  
N. Andriolli ◽  
P. Castoldi ◽  
O. Liboiron-Ladouceur
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Space Time ◽  
Optical Interconnection ◽  
Data Center Networks ◽  
Efficient Data

AI-Assisted Knowledge-Defined Network Orchestration for Energy-Efficient Data Center Networks

2020 ◽  
Vol 58 (1) ◽  
pp. 86-92 ◽  
Author(s):  
Wei Lu ◽  
Lipei Liang ◽  
Bingxin Kong ◽  
Baojia Li ◽  
Zuqing Zhu
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Data Center Networks ◽  
Efficient Data ◽  
Network Orchestration

Optimization on Ports Activation Towards Energy Efficient Data Center Networks

2018 ◽  
pp. 155-166
Author(s):  
Zina Chkirbene ◽  
Ridha Hamila ◽  
Sebti Foufou ◽  
Serkan Kiranyaz ◽  
Moncef Gabbouj
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Data Center Networks ◽  
Efficient Data

Comparative Study of Optical Interconnection Architectures in Data Center Networks

2019 ◽  
Vol 40 (3) ◽  
pp. 225-238 ◽  
Author(s):  
Abhilasha Sharma ◽  
Sangeetha R G
Keyword(s):  
Comparative Study ◽  
Data Center ◽  
Interconnection Network ◽  
Cloud Services ◽  
Low Latency ◽  
Optical Interconnection ◽  
Data Center Networks ◽  
Efficient Data ◽  
Average Latency ◽  
High Scalability

Abstract The internet traffic is increasing exponentially with cloud services. This demands high and efficient data center networks (DCNs). Current DCNs are equipped with electronic counter parts which consumes high power to provide the cloud services. Optical interconnection network (OIN) architectures provide high scalability, low latency, high throughput and low power consumption. This paper presents a study of the OIN architectures as the future requirements of the DCNs are the need for high scalability and low latency. This paper also presents a comparative study of their average latency and scalability.

Kalman Filter-based Heavy Hadoop Job Detection Method for Energy Efficient Hybrid Electro-Optical Intra-Data Center Networks

2021 ◽  
Author(s):  
Masaki Murakami ◽  
Nicolas Dubrana ◽  
Yoshihiko Uematsu ◽  
Satoru Okamoto ◽  
Naoaki Yamanaka
Keyword(s):  
Kalman Filter ◽  
Data Center ◽  
Energy Efficient ◽  
Detection Method ◽  
Data Center Networks
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