An-Najah University Journal for Research - A (Natural Sciences)

Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation

Article info

2017-06-09
2018-01-24
75 - 94

Keywords

  • communication
  • systems;
  • Time;
  • Distributed
  • Intensive
  • Load;
  • WAN;
  • Model-based
  • Approach

Abstract

Multi-processor distributed systems are very useful for the computation of intensive load. However, the optimal load fractions allocated to each processor are the main issues that affect the performance of these systems. Therefore, these load fractions depend on different parameters, such as processing capability for each processor and communication time with each processor. So, these values must be known before we start to distribute the load. In this paper, we present a model-based approach to study the performance of multi-processor distributed systems and the different communication times that use an inference message to collect such information. We notably propose a new model for load distribution over different regions connected through wide area network (WAN). We mainly focus on the effect of total communication time over the final result. Performance analyses are evaluated by a simulator, based on C++ programming language that can be an excellent solution to calculate the total finish time, in addition to the limits over the maximum number of regions.

Recommended Citation

Al-jabi, M., & Masri, A. (2018). Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation. An-Najah University Journal for Research - A (Natural Sciences), 32(1), 75–94. https://doi.org/10.35552/anujr.a.32.1.1543
[1]M. Al-jabi and A. Masri, “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation,” An-Najah University Journal for Research - A (Natural Sciences), vol. 32, no. 1, pp. 75–94, Feb. 2018, doi: 10.35552/anujr.a.32.1.1543.
Al-jabi, Muhannad, and Aladdin Masri. “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation.” An-Najah University Journal for Research - A (Natural Sciences), vol. 32, no. 1, Feb. 2018, pp. 75–94. Crossref, https://doi.org/10.35552/anujr.a.32.1.1543.
1.Al-jabi M, Masri A. Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2018 Feb;32(1):75–94. Available from: http://dx.doi.org/10.35552/anujr.a.32.1.1543
Al-jabi, Muhannad, and Aladdin Masri. “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation.” An-Najah University Journal for Research - A (Natural Sciences) 32, no. 1 (February 2018): 75–94. https://doi.org/10.35552/anujr.a.32.1.1543.

نحو المعالجة الموزعة المستندة إلى االستدالل: نمذجة التحليلية وتقييم الألداء

معلومات المقال

2017-06-09
2018-01-24
75 - 94

الكلمات الإفتتاحية

  • communication
  • systems;
  • Time;
  • Distributed
  • Intensive
  • Load;
  • WAN;
  • Model-based
  • Approach

الملخص

تعتبر أنظمة متعددة المعالج الموزعة مفيدة جدا لحساب الحمل المكثف. ومع ذلك، فإن تجزئة الحمل الأمثل المخصصة لكل معالج هي القضية الرئيسية التي تؤثر على أداء هذه الأنظمة. لذلك، تعتمد هذه الاجزاء على عوامل مختلفة، مثل القدرة التجهيز لكل معالج ووقت الاتصال مع كل معالج. لذلك، يجب أن تكون هذه القيم معروفة قبل أن نبدأ في توزيع الحمل. في هذه الورقة، نقدم نموذجا لدراسة أداء الأنظمة الموزعة متعددة المعالجات وأوقات الاتصال المختلفة التي تستخدم رسالة الاستدلال لجمع هذه المعلومات. نحن نقترح بشكل خاص نموذجا جديدا لتوزيع الحمل على مناطق مختلفة المتصلة من خلال شبكة منطقة واسعة (وان). ونحن نركز أساسا على تأثير إجمالي وقت الاتصال على النتيجة النهائية. يتم تقييم تحليلات الأداء من قبل جهاز محاكاة، استنادا إلى لغة البرمجة C ++ التي يمكن أن تكون حلا ممتازا لحساب إجمالي وقت الانتهاء، بالإضافة إلى القيود على الحد الأقصى لعدد المناطق.

Recommended Citation

Al-jabi, M., & Masri, A. (2018). Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation. An-Najah University Journal for Research - A (Natural Sciences), 32(1), 75–94. https://doi.org/10.35552/anujr.a.32.1.1543
[1]M. Al-jabi and A. Masri, “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation,” An-Najah University Journal for Research - A (Natural Sciences), vol. 32, no. 1, pp. 75–94, Feb. 2018, doi: 10.35552/anujr.a.32.1.1543.
Al-jabi, Muhannad, and Aladdin Masri. “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation.” An-Najah University Journal for Research - A (Natural Sciences), vol. 32, no. 1, Feb. 2018, pp. 75–94. Crossref, https://doi.org/10.35552/anujr.a.32.1.1543.
1.Al-jabi M, Masri A. Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2018 Feb;32(1):75–94. Available from: http://dx.doi.org/10.35552/anujr.a.32.1.1543
Al-jabi, Muhannad, and Aladdin Masri. “Toward Inference Based Distributed Processing, Analytical Modelling and Performance Evaluation.” An-Najah University Journal for Research - A (Natural Sciences) 32, no. 1 (February 2018): 75–94. https://doi.org/10.35552/anujr.a.32.1.1543.

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