PhD Dissertation Defense at the College of Information Technology on Resource Allocation and Fault Tolerance in Distributed Computing Infrastructures

By : Duhaa Fadill Abbas
Date : 09/2/2026
Views : 190

PhD Dissertation Defense at the College of Information Technology on Resource Allocation and Fault Tolerance in Distributed Computing Infrastructures

Duhaa Fadill Abbas
The Department of Software Engineering at the College of Information Technology – University of Babylon held the defense of a PhD dissertation submitted by Noha Hussein Hadi, entitled:“Resource Allocation and Fault Tolerance Approaches in Heterogeneous Distributed Computing Infrastructures”,under the supervision of Professor Dr. Mahdi Saleh Naama. The defense was conducted in a rigorous academic environment, reflecting the advanced scientific level of the research and its significance in the fields of cloud computing and distributed systems.

The dissertation addressed the persistent challenges faced by cloud computing environments, particularly in achieving efficient resource allocation under dynamic workloads, heterogeneous nodes, and unexpected failures, all of which directly impact system performance and reliability.
The researcher proposed three intelligent and adaptive models aimed at enhancing performance, reliability, and fault tolerance in heterogeneous distributed computing infrastructures. With regard to server selection, two models were introduced: the Dynamic Frequent Pattern–Based Replica Selection (DFPRS) model, which employs the FP-Growth algorithm with a sliding window for real-time processing, and the Clustered Window Replica Selection (CWRS) model, which performs online processing within discrete time intervals. Both models leverage round-trip time (RTT) preprocessing to reduce transmission delays.

In the area of load balancing, two additional models were proposed. The first is the Weighted Load and Dynamic Request Distribution (WLDRD) model, which allocates requests based on their size, while the second is the Score-Based Probabilistic Load Balancing (SPLB) model, which utilizes a probabilistic selection mechanism grounded in score computation to achieve more efficient distribution.

This work represents a valuable scientific contribution to the field of cloud computing and distributed systems, and further underscores the role of the University of Babylon in supporting advanced scientific research and keeping pace with global developments in intelligent computing technologies.

تاسماء اعضاء لجنة المناقشةاللقب العلميالاختصاص الدقيقمكان العملالمنصب
1د. احمد حبيب سعيداستاذنظم و شبكاتجامعة بابل / كلية تكنولوجيا المعلوماترئيساً
2د. احمد خلفة عبيداستاذ مساعدنظم معلوماتجامعة بابل / كلية تكنولوجيا المعلوماتعضوا
3د. محمد حسين جواداستاذ مساعدشبكاتجامعة بابل / كلية تكنولوجيا المعلوماتعضوا
4د. محسن حسن حسيناستاذ مساعدذكاء اصطناعي و تنقيب بياناتجامعة كربلاء/ كلية علوم الحاسوب و تكنولوجيا المعلوماتعضوا
5د. محمد حسين جواداستاذ مساعدذكاء اصطناعيجامعة الكوفة / كلية التربيةعضوا
6د. مهدي صالح نعمهاستاذحوسبة سحابيةجامعة بابل / كلية تكنولوجيا المعلوماتعضوا و مشرفا

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