An Exponential Active Queue Management Method Based on Random Early Detection
المؤلف
المصدر
Journal of Computer Networks and Communications
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-22
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Congestion is a key topic in computer networks that has been studied extensively by scholars due to its direct impact on a network’s performance.
One of the extensively investigated congestion control techniques is random early detection (RED).
To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s).
Unfortunately, setting up this parameter into these values leads to good, yet biased, performance results.
In this paper, the RED-Exponential Technique (RED_E) is proposed to deal with this issue by dropping arriving packets in an exponential manner without utilizing the maximum packet dropping probability.
Simulation tests aiming to contrast E_RED with other Active Queue Management (AQM) methods were conducted using different evaluation performance metrics including mean queue length (mql), throughput (T), average queuing delay (D), overflow packet loss probability (PL), and packet dropping probability (DP).
The reported results showed that E_RED offered a marginally higher satisfactory performance with reference to mql and D than that found in common AQM methods in cases of heavy congestion.
Moreover, RED_E compares well with the considered AQM methods with reference to the above evaluation performance measures using minimum threshold position (min threshold) at a router buffer.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abdel-Jaber, Hussein. 2020. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abdel-Jaber, Hussein. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abdel-Jaber, Hussein. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1182626
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر