sdn_based_controller_for_mobile_network_traffic_management1.pptx
- 1. Design and Simulation of a Simple SDN- Based Controller for Mobile Network Traffic Management GROUP 3 BEATE AMANKWAA REICHRATH JOSEPH KWAME AFARI QUANSAH ADWERE ALEX DAVID ATIA BLESSING BERNARD AKOTO ASARE KISSIWAA BENEDICTA MIIDI SELINA 1
- 2. 2 Introduction Software-Defined Networking (SDN): A new paradigm separating network control from data forwarding, enabling centralized and programmable control. Initially applied in data centers, with significant potential for mobile networks. Challenge in Mobile Networks: Traditional mobile networks are rigid, leading to congestion and poor Quality of Service (QoS) due to increasing data traffic. Proposed Solution: Design and simulate a simple SDN controller to manage mobile network traffic, addressing overload and improving service quality.
- 3. 3 Problem Statement & Objectives Problem Statement: Increasing mobile data demand leads to congestion and decreased QoS in traditional, rigid mobile networks. Optimizing traffic flow and ensuring reliable service delivery is challenging. SDN offers a promising solution through programmable and flexible network management. Objectives: Design a simple SDN-based controller for mobile network traffic management. Develop a simulation model to evaluate the proposed controller's performance. Implement traffic management algorithms to optimize QoS metrics.
- 4. 4 Literature Review - Key Findings SDN in Mobile Networks: Decouples control and data planes, centralizing intelligence for flexible and programmable traffic management (Kreutz et al., 2015). Existing Applications: Traffic Engineering: Load balancing and traffic steering to prevent congestion (Al-Fares et al., 2010). Quality of Service (QoS): Fine-grained control for prioritizing critical services by dynamically allocating bandwidth (Zaw & Maw et al., 2019). Security: Centralized controller as a security hub for anomaly detection and DDoS attack mitigation (Akbaş et al., 2016). Simulation Tools: Mininet and OMNeT++ widely used for testing and validation (Sakellaropoulou, 2017).
- 5. 5 Literature Review - Gaps & Project's Contribution Identified Gaps: Complexity: Many proposed controller designs are complex, difficult to scale, and suffer from single points of failure (Kreutz et al., 2015). Lack of Simplified Solutions: Overemphasis on large, multi-featured controllers, overlooking the need for lightweight solutions for core mobile traffic management. Incomplete Solutions: Most studies address specific problems rather than providing comprehensive, integrated solutions for diverse mobile traffic patterns. Project's Contribution: Propose a lightweight controller architecture focused on essential functions. Implement and simulate this controller using Mininet to demonstrate effectiveness. Evaluate performance, proving a simplified controller can effectively manage traffic with lower computational overhead.
- 6. 6 Methodology - Phases Phase 1: Design and Architectural Framework Define Core Requirements: Focus on flow-based routing, dynamic load balancing, and basic QoS. Design a Simplified Architecture: Modular controller with Southbound Interface, lean Traffic Management Logic Module, and simple Northbound Interface. Select Algorithms: Choose straightforward, efficient algorithms for load balancing and QoS. Phase 2: Implementation and Simulation Setup Implement the Controller: Code in Python using a lightweight SDN framework (e.g., Ryu). Create a Network Topology: Use Mininet to build a realistic mobile network topology. Generate Traffic: Use tools like Iperf to simulate various traffic types.
- 7. 7 Phase 3: Performance Evaluation and Analysis Define Metrics: Establish KPIs for network performance (throughput, latency, packet loss) and controller performance (CPU/memory usage, flow table update latency). Run Test Scenarios: Simulate in a controlled environment, including a baseline traditional network for comparison. Analyze Results: Collect and analyze data to demonstrate effectiveness and resource efficiency.
- 8. 8 Expected Outcomes Functional and Demonstrable Artifact: A fully functional, open-source SDN controller with a minimal footprint, focusing on core traffic management. Detailed architectural blueprint and a reproducible testbed in Mininet. Validated Performance Improvements: Reduced network congestion through load balancing (Al-Fares et al., 2010). Improved QoS for high-priority traffic (Zaw & Maw et al., 2019). Lower controller resource consumption (CPU and memory utilization). Contribution to Research Community: Proof-of-concept for specialized, lightweight SDN controllers. Encourages future research into purpose-built controllers for IoT, vehicular networks, or edge computing.
- 9. 9 Budget and Resources Hardware: High-Performance Workstation/Server (16GB RAM, multi-core processor): Estimated Cost: $1,500 - $2,500. Software and Tools (Predominantly Open-Source & Free): Operating System: Linux-based (e.g., Ubuntu, CentOS) SDN Controller Framework: Ryu or POX Network Emulation Tool: Mininet Traffic Generation Tool: Iperf Network Analysis Tool: Wireshark Programming Language: Python Human Resources: Researcher/Developer (expertise in Python, networking, SDN). Mentor/Supervisor (experience in computer networking and SDN).
- 10. 10 Conclusion Addressing Limitations: This project addresses the limitations of traditional networking and the complexities of existing SDN solutions. Gap Addressed: Focuses on developing lightweight, purpose-built controllers that are efficient and scalable. Expected Impact: Demonstrate functional effectiveness and quantitative proof of resource efficiency. Future Outlook: Serves as a valuable proof-of-concept for the networking community, encouraging a paradigm shift toward specialized SDN solutions and paving the way for future research in highly efficient controllers for emerging mobile network applications (e.g., IoT, edge computing).
- 11. 11 References N. McKeown et al., "OpenFlow: Enabling Innovation in Campus Networks," ACM SIGCOMM Computer Communication Review, vol. 38, no. 2, pp. 69-74, Apr. 2008. H. H. Kim and A. M. H. F. H. M. N. A. H. H. K. S. Lee, "A Survey of Software-Defined Networking (SDN) for Mobile Networks," IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 2007-2041, Third quarter 2016. Cisco. (2020). Cisco Annual Internet Report (2018–2023) White Paper. Kreutz, D., Ramos, F. M. V., Verissimo, P. E., Rothenberg, C. E., Azodolmolky, S., & Uhlig, S. (2015). Software-Defined Networking: A Comprehensive Survey. Proceedings of the IEEE, 103(1), 14-76. doi: 10.1109/JPROC.2014.2371992. Akbaş, M., Karaarslan, E., & Güngör, C. (2016). A Preliminary Survey on the Security of Software-Defined Networks. International Journal of Applied Mathematics, Electronics and Computers, 4, 184–189. Al-Fares, M., Loukissas, S., & Van, E. B. (2010). Hedera: Dynamic Flow Scheduling for Data Center Networks. NSDI '10: Proceedings of the 7th USENIX Symposium on Networked Systems Design and Implementation, 1–16. Sakellaropoulou, A. (2017). A Qualitative Study of SDN Controllers. Master Thesis, Athens University of Economics and Business. Linux Foundation. (2023). About The Linux Foundation. Retrieved from https://www.linuxfoundation.org/about/ Mininet. (2023). An Instant Virtual Network on your Laptop (or other PC). Retrieved from http://mininet.org/ POX SDN Controller. (2023). POX wiki. Retrieved from https://github.com/noxrepo/pox/wiki Python Software Foundation. (2023). About Python. Retrieved from https://www.python.org/about/ Ryu SDN Framework. (2023). About Ryu. Retrieved from https://ryu-sdn.org/ Wireshark. (2023). Wireshark is a free, open-source network protocol analyzer. Retrieved from https://www.wireshark.org/
- 12. 12 Zaw, S., & Maw, M. (2019). SDN-Based Traffic Monitoring in Data Center Network Using Floodlight Controller. International Journal of Advanced Computer Science and Applications, 10(9), 567-574. Iperf. (2023). Iperf: A network bandwidth measurement tool. Retrieved from https://iperf.fr/ Linux Foundation. (2023). About The Linux Foundation. Retrieved from https://www.linuxfoundation.org/about/ Mininet. (2023). An Instant Virtual Network on your Laptop (or other PC). Retrieved from http://mininet.org/ POX SDN Controller. (2023). POX wiki. Retrieved from https://github.com/noxrepo/pox/wiki Python Software Foundation. (2023). About Python. Retrieved from https://www.python.org/about/ Ryu SDN Framework. (2023). About Ryu. Retrieved from https://ryu-sdn.org/ Wireshark. (2023). Wireshark is a free, open-source network protocol analyzer. Retrieved from https://www.wireshark.org/