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A Study and Performance Evaluation of OpenDaylight Controller in Software Defined Networks (SDN)

دراسة و تقييم أداء المتحكم OpenDaylight في الشبكات المعرفة برمجيا" SDN

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 Publication date 2020
and research's language is العربية
 Created by Shamra Editor




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Software defined networks SDN is one of the most influential types of networks in information and communication technology compared to all traditional network technologies where there are many challenges, SDN is one of the most promising solutions for the Internet in the future and provides a strong network infrastructure with high specifications and low cost, and represents the future of the next generation of network engineering due to the easy division of networks, programming, monitoring, control and management through a central control, and the separation of control plane from the data-forwarding plane in SDN networks facilitates the process of managing and developing networks, as this technology is currently used in data centers and wireless networks, and is a solution to many of the problems faced by traditional networks. SDN networks are characterized by sufficient dynamism to deal with the different conditions of the network, and the controller is one of its most important components and is considered the smartest component in the network, and given the importance of choosing the appropriate controller according to the different parameters and conditions of the SDN network,in this research we conducted an analysis of the characteristics of Software defined Networks, The analysis relied on comparing SDN networks with the presence of a single OpenDaylight controller (ODL) and the presence of several controllers ODL, OpenDaylight controller was chosen as one of the famous controllers and it is distinguished from others as an open source and contains a distributed datastore and is designed to suit the data center environment, Taking into account the OpenFlow protocol supported on the southern interface by this controller, the research includes simulations of software defined networks topologies using the Mininet emulator, and various scenarios and parameters such as data rate, packet delay, and throughput were analyzed by the D-ITG tool.

References used
Syed Abdullah Shah, Jannet Faiz, Maham Farooq, Aamir Shafi, andSyed Akbar Mehdi. ”An architectural evaluation of SDN controllers.” In Communications (ICC), 2013 IEEE International Conference on, pp. 3504-3508. IEEE, 2018
David Erickson. “The beacon openflow controller.” In Proceedings of thesecond ACM SIGCOMM workshop on Hot topics in software defined networking, pp. 13-18. ACM, 2017.
K. Poularakis, G. Iosifidis and L. Tassiulas, “SDN-Enabled Tactical Networks: Extending Programmable Control to the Edge,” in IEEE Communications Magazine, vol. 56, no. 7, pp. 132-138, July 2018.
D. B. Hoang and M. Pham, “On software-defined networking and thedesign of sdn controllers,” in Networkof the Future (NOF), 2015 6thInternational Conference on the. IEEE, 2017, pp. 1–3

Artificial intelligence review:
Research summary
تتناول هذه الورقة البحثية دراسة وتحليل أداء المتحكم OpenDaylight في الشبكات المعرفة برمجياً (SDN). تعتبر شبكات SDN من التقنيات الحديثة التي تقدم حلولاً مبتكرة لتحديات الشبكات التقليدية من خلال فصل مستوى التحكم عن مستوى تمرير البيانات، مما يسهل إدارة الشبكة وتطويرها. يركز البحث على مقارنة أداء الشبكة في حال وجود متحكم واحد OpenDaylight (ODL) مقابل وجود عدة متحكمات ODL، باستخدام محاكي Mininet وأداة D-ITG لتحليل الأداء. تم تحليل عدة سيناريوهات مختلفة لقياس تأثير عدد المتحكمات على معدلات التأخير، الإنتاجية، وعدد الرزم المفقودة. أظهرت النتائج أن زيادة عدد المتحكمات تؤدي إلى تحسين أداء الشبكة بشكل ملحوظ من خلال تقليل التأخير وزيادة الإنتاجية وتقليل فقدان الرزم. كما تم استخدام خوارزمية موازنة الحمل لتحسين توزيع الحمل بين المتحكمات، مما ساهم في تحسين جودة الخدمة المقدمة. توصي الدراسة بمزيد من الأبحاث لتحسين الجانب الأمني للشبكات المعرفة برمجياً وتطوير خوارزميات جديدة لتحسين أداء الشبكة.
Critical review
دراسة نقدية: تقدم هذه الورقة البحثية تحليلاً شاملاً لأداء المتحكم OpenDaylight في الشبكات المعرفة برمجياً، وتساهم في فهم كيفية تحسين أداء الشبكة من خلال زيادة عدد المتحكمات. ومع ذلك، يمكن توجيه بعض النقد البناء للدراسة. أولاً، لم تتناول الدراسة الجانب الأمني بشكل كافٍ، وهو جانب حيوي في الشبكات الحديثة. ثانياً، كان من الممكن تقديم مقارنة مع متحكمات أخرى غير OpenDaylight لتقديم صورة أكثر شمولية. ثالثاً، الاعتماد على محاكي Mininet وأداة D-ITG قد لا يعكس بالضرورة الأداء الفعلي في بيئات الإنتاج الحقيقية. أخيراً، كان من الممكن توضيح المزيد من التفاصيل حول كيفية تنفيذ خوارزمية موازنة الحمل وتأثيرها على الأداء بشكل أعمق.
Questions related to the research
  1. ما هي الفوائد الرئيسية لاستخدام الشبكات المعرفة برمجياً (SDN) مقارنة بالشبكات التقليدية؟

    تقدم الشبكات المعرفة برمجياً مرونة وديناميكية أكبر في إدارة الشبكة، فصل مستوى التحكم عن مستوى تمرير البيانات، سهولة البرمجة والمراقبة والتحكم المركزي، وتقليل التكاليف.

  2. لماذا تم اختيار متحكم OpenDaylight في هذه الدراسة؟

    تم اختيار متحكم OpenDaylight لأنه مفتوح المصدر، يحتوي على datastore موزعة، مصمم ليناسب بيئة مراكز البيانات، ويدعم بروتوكول OpenFlow.

  3. ما هي الأدوات المستخدمة في هذه الدراسة لتحليل أداء الشبكة؟

    تم استخدام محاكي Mininet وأداة D-ITG لتحليل أداء الشبكة من خلال محاكاة السيناريوهات المختلفة وقياس معدلات التأخير، الإنتاجية، وعدد الرزم المفقودة.

  4. ما هي النتائج الرئيسية التي توصلت إليها الدراسة؟

    أظهرت الدراسة أن زيادة عدد المتحكمات OpenDaylight تؤدي إلى تحسين أداء الشبكة بشكل ملحوظ من خلال تقليل التأخير، زيادة الإنتاجية، وتقليل فقدان الرزم.

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