OPENDAYLIGHT PROJECT

OpenDaylight (ODL) has an adaptable framework and several collections of characteristics. phdservices.org is well versed in providing novel care and support for scholars so once you contact us for your OPENDAYLIGHT Project we will guide you with our high experienced team. It is referred to as a prominent SDN controller environment. In terms of the functionalities of ODL, we suggest a few interesting and latest project topics and plans:

  1. Network Function Virtualization (NFV) Orchestration with ODL
  • Explanation: To handle and arrange virtual network functions (VNFs) with the support of OpenDaylight, deploy an efficient system.
  • Characteristics:
    • A VNF Manager (VNFM) module has to be modeled.
    • For virtual machine handling, combine with OpenStack.
    • In order to arrange VNF, employ ODL’s MD-SAL.
  1. Traffic Engineering and Path Optimization using Segment Routing
  • Explanation: Aim to create a traffic engineering application, which utilizes Segment Routing (SR) for enhancing network routes.
  • Characteristics:
    • On the ODL controller, develop an SR controller module.
    • For visualizing SR routes, build a UI.
    • The methods of network path enhancement have to be applied.
  1. Multi-Site Data Center Networking with EVPN and VXLAN
  • Explanation: Utilize VXLAN and Ethernet VPN (EVPN) to apply a multi-site data centre networking framework.
  • Characteristics:
    • Along with an EVPN deployment, combine ODL.
    • To handle multi-site links, construct an ODL module.
    • A tracking mechanism has to be created.
  1. SDN-based Security Policies Management
  • Explanation: For enabling network management to specify and execute safety strategies, apply an SDN application.
  • Characteristics:
    • Employ ODL for developing a policy management system.
    • Together with previous safety devices such as firewalls, combine the application.
    • Potential safety breaches have to be tracked and recorded.
  1. IoT Network Management with OpenDaylight
  • Explanation: To regulate and track IoT devices, an IoT network handling system must be developed.
  • Characteristics:
    • For IoT interaction, create a protocol controller.
    • A device finding and management framework has to be developed.
    • Plan to apply actual-time traffic analytics efficiently.
  1. Dynamic Network Slicing in 5G Networks
  • Explanation: Specifically for 5G applications, develop and handle network slices in a dynamic manner by modeling an ODL module.
  • Characteristics:
    • To develop and handle slices, build APIs.
    • For allocating resources in a dynamic way, combine with NFV.
    • In order to track slice usage, develop a system.
  1. Machine Learning-Based Network Anomaly Detection
  • Explanation: As a means to identify network abnormalities through ODL, employ machine learning frameworks.
  • Characteristics:
    • By means of OpenFlow statistics, gather network data.
    • To find abnormalities, train a framework.
    • For identified abnormalities, develop a notification mechanism.
  1. Network Performance Monitoring and Visualization Tool
  • Explanation: Through the utilization of ODL, an actual-time network performance tracking and visualization tool has to be created.
  • Characteristics:
    • Using actual-time performance metrics, create a web UI.
    • Particularly for performance breakdown, apply a notification mechanism.
    • For directions, the previous data analysis must be combined.
  1. Intent-Based Networking (IBN) with OpenDaylight
  • Explanation: An IBN system has to be developed, in which the management is capable of specifying important strategies.
  • Characteristics:
    • For strategy conversion, create an intent parser.
    • To convert intents into network settings, apply a module.
    • In order to validate strategy applications, offer a feedback loop.
  1. OpenFlow-Based Dynamic Firewall Rules Management
  • Explanation: A dynamic firewall application must be modeled, which employs techniques such as ODL and OpenFlow.
  • Characteristics:
    • For firewall rule handling. Create a REST API.
    • To identify and obstruct abnormal traffic, construct a tracking system.
    • It is beneficial to combine with previous mechanisms such as SIEM (security information and event management).

Initiating Your Project

  1. Select the Project: The project that you choose must fit with your expertise and passion.
  2. Arrange Your Development Platform:
  • Initially, OpenDaylight has to be installed.
  • Then, arrange an appropriate IDE such as IntelliJ or Eclipse using Maven.
  1. Apply the Project:
  • Repeatedly, the modules have to be created and assessed.
  • It is important to use OpenDaylight’s MD-SAL and other major aspects in your project.
  1. Report Your Work:
  • The project documentation must be drafted in an explicit manner.
  • For displaying your outcomes, make a depiction or demonstration.

Which is the easiest to use SDN controller between opendaylight Floodlight or POX?

Every SDN controller, such as POX, Floodlight, and OpenDaylight is known for its specific benefits and characteristics. The following is a rapid comparison among the three based on their user-friendliness, specifically for learners: 

POX

  • Language: Python
  • Accessibility: On the basis of direct APIs and Python’s clearness, POX is considered as simpler when compared to Floodlight and OpenDaylight.
  • Characteristics:
    • For smaller projects and academic objectives, POX is very useful and efficient.
    • To study SDN-based theories, it offers a better and stronger foundation.
  • Limitations:
    • POX is not preserved effectively and has very little scalability.
    • When compared to the latest controllers, it lacks modules and characteristics.

Floodlight

  • Language: Java
  • Accessibility: Interpretation of Maven and Java is needed for Floodlight. It is a moderate controller.
  • Characteristics:
    • For research projects and production platforms, it is more appropriate.
    • To handle the network, it provides a REST API and web UI.
    • This controller is preserved efficiently and has large-scale modules.
  • Limitations:
    • In terms of project arrangement and Java, Floodlight is a partially steeper learning curve.
    • For basic educational-based objectives, it is highly complicated.

OpenDaylight

  • Language: Java
  • Accessibility: Based on java specifications, various characteristics, and adaptability, OpenDaylight is intricate.
  • Characteristics:
    • With Model-Driven Service Abstraction Layer (MD-SAL), OpenDaylight has a flexible framework.
    • For industrial and extensive networks, it is more ideal and adaptable.
    • It has a robust environment and effective committee.
  • Limitations:
    • The configuration and creation procedures are highly complicated.
    • In accordance with flexible design, it needs major learning time.

Conclusion

  • User-friendly: In terms of Python language and clarity, POX is the user-friendly controller for learners.
  • Moderate: Among intricateness and characteristics, Floodlight offers stability.
  • Versatile: OpenDaylight has a high learning curve and is considered as a versatile controller.

Suggestions

  • POX is highly ideal if you are intending for rapid learning and modeling.
  • Employ Floodlight when you are in need of production-based characteristics with less intricateness.
  • OpenDaylight is more suitable if you are dealing with industrial and extensive projects.

Project Instances for Each Controller

  1. POX:
  • Simple Layer-2 Learning Switch: Using a learning switch application, study simple SDN concepts.

from pox.core import core

import pox.openflow.libopenflow_01 as of

log = core.getLogger()

def _handle_PacketIn(event):

    packet = event.parsed

    msg = of.ofp_packet_out()

    msg.data = event.data

    action = of.ofp_action_output(port = of.OFPP_FLOOD)

    msg.actions.append(action)

    event.connection.send(msg)

def launch():    core.openflow.addListenerByName(“PacketIn”, _handle_PacketIn)

    log.info(“Simple L2 Learning Switch running”)

  1. Floodlight:
  • REST API Access Example: Through REST API, regulate network flows.

@RestletResource

public class FirewallResource extends Restlet {

    @Get

    public String retrieve() {

        // Return firewall status

        return “Firewall status”;

    }

    @Put

    public void store(String entity) {

        // Modify firewall status

    }

}

  1. OpenDaylight:
  • L2-Switch Example: Utilize MD-SAL to create a layer-2 switch.

// L2 Switch implementation with OpenDaylight MD-SAL

Opendaylight Project Thesis Topics

OPENDAYLIGHT Project Topics & Ideas

PhD research topics in SDN OpenDaylight are designed to provide a secure and reliable path for PhD or MS scholars. Our aim is to assist in achieving success in all your research endeavors. By connecting with us, scholars can rely on us to take on all the responsibilities associated with their studies. We are committed to overseeing all phases of their PhD/MS journey to ensure the best possible outcome. Explore the latest and most relevant topics that our experts have curated for scholars in the OPENDAYLIGHT Project, and be captivated by our innovative Topics & Ideas.

  1. A survey of software-defined networking: Past, present, and future of programmable networks
  2. Programmable networks—From software-defined radio to software-defined networking
  3. A survey on software-defined network and openflow: From concept to implementation
  4. Software-defined networking: Challenges and research opportunities for future internet
  5. Considerations for software defined networking (SDN): Approaches and use cases
  6. Reliable Failure Restoration with Bayesian Congestion Aware for Software Defined Networks
  7. Enabling Reachability Across Multiple Domains Without Controller Synchronization in SDN
  8. An Intelligent Forwarding Strategy in SDN-Enabled Named-Data IoV
  9. Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT
  10. A methodology for reliability of WSN based on software defined network in adaptive industrial environment
  11. Enhanced Crow Search with Deep Learning-Based Cyberattack Detection in SDN-IoT Environment
  12. Intelligent Resource Allocations for Software-Defined Mission-Critical IoT Services
  13. Using a Software-Defined Air Interface Algorithm to Improve Service Quality
  14. Centralized QoS Routing Model for Delay/Loss Sensitive Flows at the SDN-IoT Infrastructure
  15. SDN-based intrusion detection system for IoT using deep learning classifier (IDSIoT-SDL)
  16. Ensemble Deep Learning Models for Mitigating DDoS Attack in Software-Defined Network
  17. Entropy-Based Approach to Detect DDoS Attacks on Software Defined Networking Controller
  18. An Efficient Intrusion Detection Framework in Software-Defined Networking for Cybersecurity Applications
  19. Intelligent Software-Defined Network for Cognitive Routing Optimization Using Deep Extreme Learning Machine Approach
  20. A Novel Method for Routing Optimization in Software-Defined Networks

Milestones

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