PMID- 31150473
OWN - NLM
STAT- MEDLINE
DCOM- 20200130
LR  - 20231012
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 14
IP  - 5
DP  - 2019
TI  - QoS improvement with an optimum controller selection for software-defined 
      networks.
PG  - e0217631
LID - 10.1371/journal.pone.0217631 [doi]
LID - e0217631
AB  - The software-defined networking (SDN) paradigm has simplified the management of 
      computer networks by decoupling data and control planes. Moreover, the separation 
      of the data and control planes has transitioned network complexity from 
      traditional devices to controllers; therefore, controllers have become 
      indispensable entities in SDN. Controllers have multiple features and direct the 
      network from a central point and respond to updates to topological changes. 
      However, the supportive capability of these features is strong in one controller 
      but weak in another. Due to several controllers and each controller having a set 
      of features, selecting an optimal SDN controller can be considered to be a 
      multi-criteria decision-making (MCDM) problem. Herein, a two-step approach is 
      proposed for SDN controller selection. First, the controllers are ranked with 
      analytical network process (ANP) according to their qualitative features which 
      influence the performance of these controllers and then a performance comparison 
      is performed to check for the QoS improvement. The controller with a high-weight 
      value from the feature-based comparison is quantitatively analysed by 
      experimental analysis. The main contribution of this paper is checking the 
      applicability of the ANP for controller selection in SDN considering its features 
      and performance analysis in real-world Internet and Brite topologies. The 
      simulation results show that the controller computed through the proposed 
      approach outperforms the controller selected with existing approaches. The 
      selection of an optimum controller with ANP results in a reduction of topology 
      discovery time and delay in the normal and traffic load scenario. Similarly, an 
      increase in throughput with a reasonable utilization of the central processing 
      unit (CPU) is observed for the proposed controller.
FAU - Ali, Jehad
AU  - Ali J
AUID- ORCID: 0000-0002-0589-7924
AD  - Computer Engineering Department, Ajou University, Suwon-si, South Korea.
FAU - Roh, Byeong-Hee
AU  - Roh BH
AD  - Computer Engineering Department, Ajou University, Suwon-si, South Korea.
FAU - Lee, Seungwoon
AU  - Lee S
AUID- ORCID: 0000-0002-7939-1889
AD  - Computer Engineering Department, Ajou University, Suwon-si, South Korea.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20190531
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Algorithms
MH  - Cloud Computing
MH  - *Computer Communication Networks
MH  - Data Management
MH  - Humans
MH  - *Internet
MH  - Records
MH  - Research Design
MH  - *Software
MH  - *User-Computer Interface
PMC - PMC6544266
COIS- The authors have declared that no competing interests exist.
EDAT- 2019/06/01 06:00
MHDA- 2020/01/31 06:00
PMCR- 2019/05/31
CRDT- 2019/06/01 06:00
PHST- 2019/01/17 00:00 [received]
PHST- 2019/05/15 00:00 [accepted]
PHST- 2019/06/01 06:00 [entrez]
PHST- 2019/06/01 06:00 [pubmed]
PHST- 2020/01/31 06:00 [medline]
PHST- 2019/05/31 00:00 [pmc-release]
AID - PONE-D-19-01578 [pii]
AID - 10.1371/journal.pone.0217631 [doi]
PST - epublish
SO  - PLoS One. 2019 May 31;14(5):e0217631. doi: 10.1371/journal.pone.0217631. 
      eCollection 2019.