A Congestion Contribution-based Traffic Engineering Scheme using Software-Defined Networking

2018 ◽  
Author(s):  
Dongjin Hong ◽  
Jinyong Kim ◽  
Jaehoon Jeong
Keyword(s):  
Traffic Engineering ◽  
Software Defined Networking ◽  
Engineering Scheme

scholarly journals PARD: Hybrid Proactive and Reactive Method Eliminating Flow Setup Latency in SDN

2020 ◽  
Vol 28 (4) ◽  
pp. 1547-1574
Author(s):  
Michal Rzepka ◽  
Piotr Borylo ◽  
Artur Lason ◽  
Andrzej Szymanski
Keyword(s):  
Packet Loss ◽  
Traffic Engineering ◽  
Hardware Design ◽  
Software Defined Networking ◽  
Fine Grained ◽  
Flow Table ◽  
Scientific Papers ◽  
Reactive Method ◽  
Full Maturity

Abstract Advantages of Software Defined Networking are unquestionable and are widely described in numerous scientific papers, business white papers and press articles. However, to achieve full maturity, crucial impediments to this concept and its shortcomings must be overcame. One of the most important issues regards significant setup latency of a new flow. To address this issue we propose PARD: a hybrid proactive and reactive method to manage flow table entries. Additional advantages of the proposed solution are, among the others, its ability to preserve all capabilities of Software Defined Networking, utilization of multiple flow tables, a possibility to employ fine-grained traffic engineering and, finally, compatibility with existing protocol and hardware design. It is shown that the proposed solution is able to significantly reduce latency of first packets of a new flow, which directly impacts packet loss and perceived throughput. Thus, our solution is expected to enable a wide deployment of Software Defined Networking concept without any need for protocol changes or, what is extremely important, hardware modifications.

scholarly journals Sub-flow assignment model of multicast flows using multiple P2MP LSPs

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Fernando Solano ◽  
Ramón Fabregat ◽  
Yezid Donoso
Keyword(s):  
Traffic Engineering ◽  
Multiple Point ◽  
Multi Objective ◽  
System Equation ◽  
Assignment Model ◽  
Flow Assignment ◽  
Liner System ◽  
S Model ◽  
Engineering Scheme

In previous works, a multi-objective traffic engineering scheme (MHDB-S model) using different distribution trees to multicast several flows were proposed. Because the flow assignment cannot be mapped directly into MPLS architecture, in this paper, we propose a liner system equation to create multiple point-2-multipoint LSPs based on the optimum sub-flow values obtained with our MHDB-S model.

Software Defined Networking Based Delay Sensitive Traffic Engineering of Critical Data in Internet of Things

2020 ◽  
Vol 17 (1) ◽  
pp. 48-53
Author(s):  
Vaka Avinash Reddy ◽  
K. Venkatesh ◽  
L. N. B. Srinivas
Keyword(s):  
Internet Of Things ◽  
Traffic Engineering ◽  
Software Defined Networking ◽  
Raspberry Pi ◽  
Wireless Devices ◽  
Critical Data ◽  
Delay Sensitive ◽  
Minimum Latency ◽  
Critical Traffic ◽  
Message Propagation

The exponential growth of the number of devices that are connected to the internet is increasing. At present, there are more than 13 billion devices are connected and it was predicted that this number reaches up to 25 billion by 2020. In an Internet of Things ecosystem, these devices are embedded to perform specific tasks in which they cannot take decisions. When there is an emergency state in any one of the nodes, the other nodes also produce the traffic simultaneously which makes the border router busy and creates a delay in message propagation and causes loss to the productivity. In the proposed architecture, Software Defined Networking offers a solution to this problem by making wireless sensor network more intelligent and also makes network capable of making self-decision during emergency state. In the proposed architecture an Open vSwitch installed on a Raspberry Pi as a Data Plane and Open Network Operating system, Mininet can be used as a Control Plane. The NodeMCU-ESP8266 wireless devices act as end nodes. A routing path with minimum latency during critical traffic can be implemented using Software Defined Networking.

Software-Defined Networking’s Traffic Engineering Benefits the Improvement of Network Performance

2020 ◽  
Vol 17 (1) ◽  
pp. 27-31
Author(s):  
B. Naveen Chandar ◽  
N. Arivazhagan ◽  
K. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Network Performance ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Network Resource

Quality of Service is considered as one of the important specifications in Software Defined Networking and we are focusing on Traffic Engineering which is capable of managing traffic characteristics like bandwidth for improving network performance. In this paper, performance evaluation of Quality of Service parameters such as Packet Delivery Ratio, Packet Delay and Packet Loss are performed with Network simulator 2 for all types of Software Defined Networking topologies. To do such evaluation on these parameters we use Traffic Engineering, which helps on improving the network performance, design mechanisms for routing to manage the traffic in network by improving the network resource usages and other major Quality of Service requisites. So in this proposed methodology, we use point-to-point topology related to traffic calculation which includes network parameters like general calculation of a framework, analyzing the traffic and future indication. Also the work process relevant to traffic management includes bandwidth of the traffic, scheduling of Quality of Service-assurance, saving power and management of traffic in Software Defined Networking. Existing technologies used for the above parameters are discussed below and our insights for future development on traffic engineering between the nodes in Software Defined Networking are offered.

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