SDN Projects examples using omnet++

Software-Defined Networking (SDN) is a hypothesis that decouples the network control plane from the data planes that enabling for centralized and programmable network management. While the OMNeT++, particularly when combined with frameworks such as INET or the OpenFlow module that is suitable for simulating and evaluating the SDN scenarios. The given below are the some samples of SDN projects that you can explore using OMNeT++:

Performance Evaluation of OpenFlow in SDN

Description: To mimic an SDN environment using the OpenFlow protocol to assess its performance in terms of latency, throughput, and control overhead.

Key Features:

Execution of the OpenFlow protocol in SDN switches and controllers.
To emulate the numerous kinds of network topologies that has fat-tree, mesh, and ring topologies.
To analysis the performance metrics such as flow setup time, control plane overhead, and data plane efficiency.

Tools & Frameworks:

INET Framework with OpenFlow Module: Use INET to emulate an SDN environment with OpenFlow support that permits the detailed performance evaluation.

Dynamic Load Balancing in SDN

Description: Exploring dynamic load balancing strategies in an SDN environment to efficiently allocate the network traffic across multiple paths and mitigate the congestion.

Key Features:

Execution of load balancing techniques that enthusiastically adapts the flow paths based on real-time traffic conditions.
Mimic the scenarios with changing traffic patterns, including burst and steady-state traffic.
Tp assess the metrics like link utilization, latency, throughput, and the effectiveness of load balancing strategies.

Tools & Frameworks:

INET Framework: To mimic the dynamic load balancing in an SDN environment, using custom or existing load balancing approches.

QoS-Aware Routing in SDN

Description: To emulate the Quality of Service (QoS)-aware routing in an SDN environment to make sure that various kinds of traffic like VoIP and video streaming, meet their particular QoS requirements.

Key Features:

Execution of QoS-aware routing protocols that select traffic based on bandwidth, delay, jitter, and packet loss requirements.
To mimic the mixed traffic types with changing QoS demands across the network.
To evaluate the metrics such as QoS satisfaction, network resource utilization, and overall system throughput.

Tools & Frameworks:

INET Framework with QoS Extensions: Expand INET to support QoS-aware routing in SDN the allow the detailed QoS performance analysis.

Security and Attack Mitigation in SDN

Description: Examining the security issues in SDN like DDoS attacks and control plane saturation, and executing the mechanisms to identify and prevent these threats.

Key Features:

To emulate of numerous attack scenarios that has DDoS attacks targeting the SDN controller and data plane saturation.
Execution of security mechanisms like anomaly detection, rate limiting, and dynamic reconfiguration to prevent the attacks.
To evaluate the metrics such as security effectiveness, response time, and impact on network performance.

Tools & Frameworks:

INET Framework with Security Extensions: Incorporate or build the security modules to emulate and assess the attack mitigation strategies in an SDN environment.

Energy-Efficient SDN

Description: Discovering the energy-efficient network management in SDN by enthusiastically adapting the network resources and routing paths based on traffic demand and energy consumption.

Key Features:

Execution of energy-aware routing and resource allocation techniques that reduce the power consumption without compromising network performance.
Mimic the scenarios with changing traffic loads, energy profiles, and network topologies.
To analysis the metrics such as energy savings, network lifetime, and trade-offs among the energy efficiency and service quality.

Tools & Frameworks:

INET Framework: Expand INET to model and emulate the energy-efficient methods in SDN environments.

SDN-Based Traffic Engineering

Description: Executing and emulating the traffic engineering approaches in an SDN environment to enhance the network resource usage and enhance the overall performance.

Key Features:

Execution of traffic engineering techniques that enhance routing decisions based on real-time network conditions and traffic demands.
Mimic the scenarios with changing traffic patterns and network conditions that contain the congestion and link failures.
To analysis the performance metrics such as link utilization, latency, throughput, and network resilience.

Tools & Frameworks:

INET Framework with Traffic Engineering Extensions: Build and incorporate with traffic engineering techniques into an SDN simulation environment.

Network Slicing in SDN for 5G Networks

Description: To mimic the network slicing in an SDN-based 5G network in which the multiple virtual networks are generated on a shared physical infrastructure to provide to diverse use cases with unique requirements.

Key Features:

Execution of network slicing approaches that distributes resources dynamically based on the particular needs of each slice like eMBB, URLLC, mMTC.
Mimic the numerous multiple network slices with changing QoS requirements and resource allocation approaches.
To evaluate the metrics like slice isolation, resource efficiency, and service quality across different slices.

Tools & Frameworks:

INET Framework with Custom Modules: Expand the INET to emulate the network slicing in SDN-based 5G networks.

Fault Tolerance and Recovery in SDN

Description: Examining the fault tolerance and recovery mechanisms in SDN to make sure the network reliability and service continuity in the face of failures.

Key Features:

Execution of fault detection and recovery mechanisms like controller redundancy, dynamic re-routing, and link failure detection.
Mimic the scenarios with network component failures that contain controller failures and link outages.
To assess the metrics of recovery time, network resilience, and the impact of fault tolerance mechanisms on overall performance.

Tools & Frameworks:

INET Framework: To emulate the fault tolerance methods in SDN, using custom or existing fault detection and recovery mechanisms.

SDN for Internet of Things (IoT)

Description: Discovering the use of SDN to handle and enhance the IoT networks that concentrates on the dynamic and scalable management of IoT devices and data flows.

Key Features:

Execution of SDN-based management and routing protocols tailored for IoT networks that deliberate the constraints like low power, low bandwidth, and high device density.
To mimic the IoT scenarios with changing numbers of devices, data flows, and network topologies.
To analysis its performance like scalability, resource efficiency, and the impact of SDN on IoT network performance.

Tools & Frameworks:

INET Framework with IoT Extensions: Expand INET to emulate the SDN management of IoT networks and measure its benefits.

Collaborative SDN Controllers

Description: Examining the use of multiple SDN controllers that cooperate to handle the large-scale or geographically distributed networks that enhance the scalability and fault tolerance.

Key Features:

Execution of communication protocols and techniques that allow collaboration and synchronization among the multiple SDN controllers.
To emulate the scenarios with large-scale networks, high traffic loads, and geographically distributed nodes.
To analyse the metrics such as controller scalability, network convergence time, and the effect on overall network performance.

Tools & Frameworks:

INET Framework with Custom Extensions: Build the modules to emulate the collaborative SDN controllers and evaluate their performance in distributed network environments.

In this demonstration we clearly showed the sample projects that related to the Software-Defined Networking that were executed in OMNeT++ simulation tool. Additional specific details were also provided about the Software-Defined Networking.

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