June 12, 14:00 – 15:00
We are pleased to announce the upcoming PhD defense of Feridun Tütüncüoğlu, who will present his thesis titled:
“Joint Optimization of Pricing and Resource Allocation in Serverless Edge Computing: A Game-Theoretic Perspective”. In the lead-up to the defense, we asked Feridun to share insights about his research, its societal impact, and the challenges that lie ahead.
What is your thesis about?
My thesis, “Joint Optimization of Pricing and Resource Allocation in Serverless Edge Computing: A Game-Theoretic Perspective,”addresses efficient resource management and pricing in edge computing. Using game theory, Bayesian optimization, and reinforcement learning, I develop strategies that incentivize wireless devices to offload computationally intensive tasks to edge systems, helping them meet strict latency requirements. The goal is to optimize profits for edge operator while minimizing user costs and ensuring quality of service.
What impact does this work have on our society?
This research has significant implications for society, especially as we increasingly rely on real-time latency-sensitive services such as augmented reality, virtual reality, autonomous vehicles, and smart-city applications. By efficiently managing edge computing resources and pricing, my work helps ensure that these technologies remain affordable, reliable, energy efficient, and scalable while enhancing user experiences.
Are there any remaining challenges in this area?
While substantial progress has been made in this thesis, important challenges remain. Future research challenges include developing effective pricing strategies for multioperator environments, where managing competition and cooperation among operators remains an open issue. In such settings, developing both competitive pricing mechanisms and collaborative resource management solutions, such as shared cashing, computing resources, and network infrastructure is essential. Additionally there is a need for standardized frameworks to ensure interoperability, fairness and efficiency across diverse edge-cloud systems. Finally, significant efforts are still required to create lightweight, scalable, and real-time optimization methods suitable for in-practice distributed, resource-constrained deployments.
Mark your calendar and join us on June 12 at 14:00 to learn more about this exciting work and celebrate this significant milestone in Samie’s research journey.