Network traffic load balancing method with geo satellites cooperation

2014 ◽  
Author(s):  
Feng Ni ◽  
Gang Xie ◽  
Jinchun Gao ◽  
Bibo Hu ◽  
Yuanan Liu ◽  
...  
Keyword(s):  
Load Balancing ◽  
Network Traffic ◽  
Traffic Load ◽  
Geo Satellites ◽  
Traffic Load Balancing

scholarly journals Network Traffic Load Balancing In Gateways

2014 ◽  
Vol 16 (3) ◽  
pp. 84-87
Author(s):  
Jopxon P J ◽  
◽  
Arun Soman
Keyword(s):  
Load Balancing ◽  
Network Traffic ◽  
Traffic Load ◽  
Traffic Load Balancing

Network Traffic Load Balancing Protocol*

2020 ◽  
Author(s):  
Natalia Amelina ◽  
Andrey Chernov ◽  
Oleg Granichin ◽  
Yury Ivanskiy ◽  
Irina Len
Keyword(s):  
Load Balancing ◽  
Network Traffic ◽  
Traffic Load ◽  
Traffic Load Balancing

scholarly journals Traffic Load Balancing Using Software Defined Networking (SDN) Controller as Virtualized Network Function

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 46646-46658 ◽  
Author(s):  
Sikandar Ejaz ◽  
Zeshan Iqbal ◽  
Peer Azmat Shah ◽  
Bilal Haider Bukhari ◽  
Armughan Ali ◽  
...  
Keyword(s):  
Load Balancing ◽  
Software Defined Networking ◽  
Traffic Load ◽  
Network Function ◽  
Sdn Controller ◽  
Traffic Load Balancing

scholarly journals Novel Multi-Level Dynamic Traffic Load-Balancing Protocol for Data Center

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 145 ◽  
Author(s):  
Sheeba Memon ◽  
Jiawei Huang ◽  
Hussain Saajid ◽  
Naadiya Khuda Bux ◽  
Arshad Saleem ◽  
...  
Keyword(s):  
Load Balancing ◽  
Data Center ◽  
State Of The Art ◽  
Traffic Load ◽  
Parameter Setting ◽  
Dynamic Traffic ◽  
Typical Data ◽  
Fixed Parameter ◽  
Multi Level ◽  
Traffic Load Balancing

Typically, the production data centers function with various risk factors, such as for instance the network dynamicity, topological asymmetry, and switch failures. Hence, the load-balancing schemes should consider the sensing accurate path circumstances as well as the reduction of failures. However, under dynamic traffic, current load-balancing schemes use the fixed parameter setting, resulting in suboptimal performances. Therefore, we propose a multi-level dynamic traffic load-balancing (MDTLB) protocol, which uses an adaptive approach of parameter setting. The simulation results show that the MDTLB outperforms the state-of-the-art schemes in terms of both the flow completion time and throughput in typical data center applications.

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