A high-performance Two-Phase Multipath scheme for data-center networks

2017 ◽  
Vol 112 ◽  
pp. 36-51 ◽  
Author(s):  
Lyno Henrique G. Ferraz ◽  
Rafael Laufer ◽  
Diogo M.F. Mattos ◽  
Otto Carlos M.B. Duarte ◽  
Guy Pujolle
Keyword(s):  
Data Center ◽  
High Performance ◽  
Data Center Networks ◽  
Two Phase

ROTOS: A Reconfigurable and Cost-Effective Architecture for High-Performance Optical Data Center Networks

2020 ◽  
Vol 38 (13) ◽  
pp. 3485-3494
Author(s):  
Xuwei Xue ◽  
Fulong Yan ◽  
Kristif Prifti ◽  
Fu Wang ◽  
Bitao Pan ◽  
...  
Keyword(s):  
Data Center ◽  
High Performance ◽  
Cost Effective ◽  
Optical Data ◽  
Data Center Networks

scholarly journals An Adaptive Authenticated Model for Big Data Stream SAVI in SDN-Based Data Center Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qizhao Zhou ◽  
Junqing Yu ◽  
Dong Li
Keyword(s):  
Big Data ◽  
Data Center ◽  
Data Stream ◽  
Network Performance ◽  
Rapid Development ◽  
High Growth ◽  
Ratio Test ◽  
Data Center Networks ◽  
Time Data ◽  
Two Phase

With the rapid development of data-driven and bandwidth-intensive applications in the Software Defined Networking (SDN) northbound interface, big data stream is dynamically generated with high growth rates in SDN-based data center networks. However, a significant issue faced in big data stream communication is how to verify its authenticity in an untrusted environment. The big data stream traffic has the characteristics of security sensitivity, data size randomness, and latency sensitivity, putting high strain on the SDN-based communication system during larger spoofing events in it. In addition, the SDN controller may be overloaded under big data stream verification conditions on account of the fast increase of bandwidth-intensive applications and quick response requirements. To solve these problems, we propose a two-phase adaptive authenticated model (TAAM) by introducing source address validation implementation- (SAVI-) based IP source address verification. The model realizes real-time data stream address validation and dynamically reduces the redundant verification process. A traffic adaptive SAVI that utilizes a robust localization method followed by the Sequential Probability Ratio Test (SPRT) has been proposed to ensure differentiated executions of the big data stream packets forwarding and the spoofing packets discarding. The TAAM model could filter out the unmatched packets with better packet forwarding efficiency and fundamental security characteristics. The experimental results demonstrate that spoofing attacks under big data streams can be directly mitigated by it. Compared with the latest methods, TAAM can achieve desirable network performance in terms of transmission quality, security guarantee, and response time. It drops 97% of the spoofing attack packets while consuming only 9% of the controller CPU utilization on average.

scholarly journals A hybrid optical packet and wavelength selective switching platform for high-performance data center networks

2011 ◽  
Vol 19 (24) ◽  
pp. 24258 ◽  
Author(s):  
Lin Xu ◽  
Wenjia Zhang ◽  
Hugo L. R. Lira ◽  
Michal Lipson ◽  
Keren Bergman
Keyword(s):  
Data Center ◽  
High Performance ◽  
Performance Data ◽  
Data Center Networks
Sign in / Sign up

Export Citation Format

Share Document