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Comparison of the performance of sporadic tasks scheduling algorithms in real time systems

مقارنة أداء خوارزميات جدولة المهام العشوائية في نظم الزمن الحقيقي

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 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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In this paper, we compare the performance of sporadic tasks scheduler algorithms on a multi-core platform in order to determine the best algorithm in terms of a set of parameters adopted by researchers in this field, which in turn gives us accurate details about the quality of such algorithms when applied to a set of sporadic tasks generated according to uniformed Logarithmic probability distribution. The simulation is done using Simso simulator, which proved the reliability of high performance by the testimony of many researchers in this field, as it provides the possibility of generating tasks according to specific probability distributions, and simulates accurate details related to the characteristics of random tasks.


Artificial intelligence review:
Research summary
تعتبر نظم الزمن الحقيقي اليوم النواة الأساسية لمعظم التطبيقات المستخدمة في مجالات تقنية المعلومات والاتصالات. يهدف هذا البحث إلى مقارنة أداء خوارزميات جدولة المهام العشوائية على منصة متعددة النوى لتحديد الخوارزمية الأفضل من ناحية مجموعة من البارامترات المعتمدة من قبل الباحثين. تم استخدام المحاكي SIMSO لإجراء المحاكاة، حيث أثبت موثوقية عالية في الأداء. تم اختبار ثلاثة خوارزميات: PD2، EDF، وLLREF، على ثلاث سيناريوهات مختلفة تتضمن العمل على نواتين، أربع نوى، وثمان نوى. أظهرت النتائج أن خوارزمية LLREF تعطي أداءً أفضل من باقي الخوارزميات من ناحية حمل المعالج وأعباء تبديل السياق وأعباء الجدولة. توصي الدراسة بزيادة عدد النوى المدروسة وزيادة أزمنة المحاكاة لمزيد من التحسينات.
Critical review
دراسة نقدية: يعتبر هذا البحث خطوة مهمة في مجال تحسين أداء نظم الزمن الحقيقي، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الممكن توسيع نطاق الدراسة لتشمل خوارزميات أخرى لم يتم التطرق إليها في البحث، مما يمكن أن يعطي صورة أكثر شمولية عن أداء الخوارزميات المختلفة. ثانياً، لم يتم التطرق إلى تأثير العوامل الخارجية مثل استهلاك الطاقة أو تأثير الذاكرة على أداء الخوارزميات، وهو ما يمكن أن يكون له تأثير كبير في التطبيقات العملية. أخيراً، كان من المفيد تقديم تحليل أعمق للنتائج وربطها بالتطبيقات العملية المحتملة، مما يمكن أن يساعد في فهم أفضل لكيفية استخدام هذه الخوارزميات في بيئات حقيقية.
Questions related to the research
  1. ما هي الخوارزميات الثلاث التي تم اختبارها في البحث؟

    الخوارزميات الثلاث التي تم اختبارها هي PD2، EDF، وLLREF.

  2. ما هو الهدف الرئيسي من هذا البحث؟

    الهدف الرئيسي هو اختبار مدى قابلية جدولة المهام العشوائية عند تطبيق مجموعة من الخوارزميات على نظام تشغيل يعمل بالزمن الحقيقي.

  3. ما هو المحاكي المستخدم في هذا البحث؟

    تم استخدام المحاكي SIMSO لإجراء المحاكاة في هذا البحث.

  4. ما هي التوصيات التي قدمها الباحثون بناءً على نتائج البحث؟

    أوصى الباحثون بزيادة عدد النوى المدروسة وزيادة أزمنة المحاكاة، وكذلك مقارنة الخوارزمية الأفضل مع خوارزميات أخرى لم يتم التطرق إليها في البحث.


References used
RADHAKRISHNA NAIK at el, "Periodic and Aperiodic Real -Time Task Scheduling AlgorithmsSimulator", International Journal of Pure and Applied Mathematics, Volume 118 No. 20 , 2018, 2681-2687
HYEONGBOO BAEK, "Real-Time Scheduling for PreventingInformation Leakage with PreemptionOverheads ", Advances in Electrical and Computer Engineering, Volume 17, Number 2, 2017
ANKUR JAIN , “ Multishare Task Scheduling Algorithm For Real Time Microcontroller Based Application “ , Mechatronics and Applications: An International Journal (MECHATROJ), Vol. 1, No.1, 2015
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