Resource management and control in converged optical data center networks: Survey and enabling technologies

2015 ◽  
Vol 88 ◽  
pp. 121-135 ◽  
Author(s):  
Weigang Hou ◽  
Lei Guo ◽  
Yejun Liu ◽  
Cunqian Yu ◽  
Yue Zong
Keyword(s):  
Resource Management ◽  
Data Center ◽  
Optical Data ◽  
Data Center Networks ◽  
Enabling Technologies ◽  
And Control

The flexible resource management in optical data center networks based on machine learning and SDON

2020 ◽  
Vol 39 ◽  
pp. 100594
Author(s):  
Congying Zhi ◽  
Wei Ji ◽  
Rui Yin ◽  
Jinku Feng ◽  
Hongji Xu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Resource Management ◽  
Data Center ◽  
Optical Data ◽  
Data Center Networks ◽  
Flexible Resource

scholarly journals Enabling Technologies for Optical Data Center Networks: Spatial Division Multiplexing

2020 ◽  
Vol 38 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Lu Zhang ◽  
Jiajia Chen ◽  
Erik Agrell ◽  
Rui Lin ◽  
Lena Wosinska
Keyword(s):  
Data Center ◽  
Optical Data ◽  
Data Center Networks ◽  
Enabling Technologies ◽  
Spatial Division Multiplexing

scholarly journals Layout-Independent Wireless Facility Constructing and Scheduling for Data Center Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Xianglin Wei ◽  
Qin Sun
Keyword(s):  
Data Center ◽  
Network Performance ◽  
Data Center Networks ◽  
Data Packets ◽  
Typical Data ◽  
Calculation Step ◽  
Scheduling Method ◽  
Series Of Experiments ◽  
Traffic Estimation ◽  
And Control

The control packets in the data center networks (DCNs) have to contest with the data packets although they are usually much shorter in size and much more important in network management. Moreover, the uneven distribution of the packets may create potential traffic hotspots in the DCN which could degrade network performance drastically. To bridge these gaps, a layout-independent constructing algorithm and a scheduling method are put forward towards layout-independent wireless facility in data centers. First of all, a conflict aware spanning tree algorithm is developed to construct the wireless facility network (WFN). Secondly, a scheduling method which contains three steps, route calculation, traffic estimation, and flow scheduling, is presented. In the route calculation step, a route set between each node pair is calculated in advance for later usage. The scheduler estimates the traffic loads on the links on a regular basis in the traffic estimation step. Then, arrived data and control flows are scheduled according to multiple policies based on given route sets and scheduling objectives in the flow scheduling step. Finally, a series of experiments have been conducted on NS3 based on two typical data center layouts. Experimental results in both scenarios have validated our proposal’ effectiveness.

scholarly journals Minimizing Electricity Cost and Emissions in Optical Data Center Networks

2017 ◽  
Vol 9 (4) ◽  
pp. 257 ◽  
Author(s):  
Arash Deylamsalehi ◽  
Yan Cui ◽  
Pegah Afsharlar ◽  
Vinod M. Vokkarane
Keyword(s):  
Data Center ◽  
Optical Data ◽  
Data Center Networks ◽  
Electricity Cost
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