scholarly journals Towards AI-enabled traffic management in multipath TCP: A survey

2021 ◽  
Author(s):  
Sadia J. Siddiqi ◽  
Faisal Naeem ◽  
Saud Khan ◽  
Komal S. Khan ◽  
Muhammad Tariq
Keyword(s):  
Traffic Management ◽  
Multipath Tcp

scholarly journals Implementation Based Approach to analyze MPLS and Segment Routing Traffic by Using ODL SDN Controller

2021 ◽  
Vol 10 (3) ◽  
pp. 2324-2336
Keyword(s):  
Traffic Engineering ◽  
Traffic Management ◽  
Transmission Control Protocol ◽  
Software Defined Network ◽  
Application Layer ◽  
Multipath Tcp ◽  
Multi Protocol Label Switching ◽  
Comprehensive Comparison ◽  
High Level ◽  
Sdn Controller

Network infrastructure in the data center is getting more complicated due to heavy network traffic, by increasing a network load leads high storage consumption and high deployment cost. We have proposed an effective traffic management mechanism by combining Segment Routing and Multipath Transmission Control Protocol TCP in a logically centralized controller environment. Segment Routing and Multipath TCP is used to define a logically centralized and physically distribution for Software Defined Network SDN. Segment Routing SR technology is used for simplifying Multi-protocol Label Switching MPLS and software- defined network SDN networks. Segment Routing makes it easy to assign a dynamic traffic according to customer’s requirements through the high-level application. This work presents a comprehensive comparison between MPLS and Segment Routing Traffic Engineering, both technologies are implemented in an SDN network environment, based on GNS3 network Emulator as data network Layer, Open-Daylight as SDN Controller, and Python scripts for sending Segment IDs as a part of network Orchestrator in Application Layer.

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Michaela Schwarz ◽  
K. Wolfgang Kallus
Keyword(s):  
Safety Culture ◽  
Traffic Management ◽  
Service Providers ◽  
Five Factor Model ◽  
Principal Component ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Psychometric Validation ◽  
Safety Attitudes ◽  
Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

Sign in / Sign up

Export Citation Format

Share Document