A Study of the Forwarding Blackhole phenomenon during Software-Defined Network Updates

Survey of Consistent Software-Defined Network Updates

IEEE Communications Surveys & Tutorials ◽

10.1109/comst.2018.2876749 ◽

2019 ◽

Vol 21 (2) ◽

pp. 1435-1461 ◽

Cited By ~ 27

Author(s):

Klaus-Tycho Foerster ◽

Stefan Schmid ◽

Stefano Vissicchio

Keyword(s):

On Polynomial-Time Congestion-Free Software-Defined Network Updates

2019 IFIP Networking Conference (IFIP Networking) ◽

10.23919/ifipnetworking.2019.8816833 ◽

2019 ◽

Cited By ~ 1

Author(s):

Saeed A. Amiri ◽

Szymon Dudycz ◽

Mahmoud Parham ◽

Stefan Schmid ◽

Sebastian Wiederrecht

Keyword(s):

Polynomial Time ◽

Free Software ◽

On polynomial-time congestion-free software-defined network updates

2019 IFIP Networking Conference (IFIP Networking) ◽

10.23919/ifipnetworking46909.2019.8999391 ◽

2019 ◽

Author(s):

Saeed A. Amiri ◽

Szymon Dudycz ◽

Mahmoud Parham ◽

Stefan Schmid ◽

Sebastian Wiederrecht

Keyword(s):

Polynomial Time ◽

Free Software ◽

2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS) ◽

GCG: General Consistencies Guarantee of Software-Defined Network Updates

10.1109/hpcc-smartcity-dss.2017.88 ◽

2017 ◽

Author(s):

Zhe Wang ◽

Chang Shu ◽

Zhiwei Zhao ◽

Yuntong Zhang ◽

Luqi Yang ◽

...

Keyword(s):

Practice Research Network Updates: Alcohol and Substance Abuse Providers of New York (ASAP)

PsycEXTRA Dataset ◽

10.1037/e508752006-011 ◽

2004 ◽

Keyword(s):

New York ◽

Substance Abuse ◽

Research Network ◽

Practice Research ◽

Software Defined Network Based Forensic System For Concealed Communication Detection

i-manager’s Journal on Software Engineering ◽

10.26634/jse.9.2.3324 ◽

2014 ◽

Vol 9 (2) ◽

pp. 17-23

Author(s):

Shantala C.P ◽

K.V Viswanatha

Keyword(s):

Software Defined Network

A Perspective of the Machine Learning Approach for the Packet Classification in the Software Defined Network

Intelligent Automation & Soft Computing ◽

10.31209/2020.100000188 ◽

2020 ◽

pp. -1--1

Author(s):

B. Indira ◽

K. Valarmathi

Keyword(s):

Machine Learning ◽

Packet Classification ◽

Learning Approach ◽

Machine Learning Approach

Intrusion Detection in Software Defined Network Using Deep Learning Approach

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) ◽

10.1109/ccwc51732.2021.9375951 ◽

2021 ◽

Author(s):

Bambang Susilo ◽

Riri Fitri Sari

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Learning Approach ◽

Software Defined Network

Optimized Path and Reduced Rule Caching Cost for Software Defined Network (SDN) Based Internet of Things (IOT)

Wireless Personal Communications ◽

10.1007/s11277-021-08698-4 ◽

2021 ◽

Author(s):

H. M. Mahantesh ◽

M. Nageswara Guptha ◽

M. S. Hema

Keyword(s):

Internet Of Things ◽

Software Defined Network

Extending the software-defined network boundary

ACM SIGCOMM Computer Communication Review ◽

10.1145/2740070.2631443 ◽

2015 ◽

Vol 44 (4) ◽

pp. 381-382 ◽

Cited By ~ 5

Author(s):

Oliver Michel ◽

Michael Coughlin ◽

Eric Keller

Keyword(s):

Network Boundary