5 papers
LLMs are everywhere: Ubiquitous Utilization of AI Models through Air Computing
Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy
We are witnessing a new era where problem-solving and cognitive tasks are being increasingly delegated to Large Language Models (LLMs) across diverse domains, ranging from code gen…
AirCompSim: A Discrete Event Simulator for Air Computing
Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy
Air components, including UAVs, planes, balloons, and satellites have been widely utilized since the fixed capacity of ground infrastructure cannot meet the dynamic load of the use…
DeepAir: A Multi-Agent Deep Reinforcement Learning Based Scheme for an Unknown User Location Problem
Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy
The deployment of unmanned aerial vehicles (UAVs) in many different settings has provided various solutions and strategies for networking paradigms. Therefore, it reduces the compl…
Dynamic Capacity Enhancement using Air Computing: An Earthquake Case
Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy
Earthquakes are one of the most destructive natural disasters harming life and the infrastructure of cities. After an earthquake, functioning communication and computational capaci…
Fault Tolerance in SDN Data Plane Considering Network and Application Based Metrics
Baris Yamansavascilar, Ahmet Cihat Baktir, Atay Ozgovde +1
Failures in networks result in service disruptions which may cause deteriorated Quality of Service (QoS) for the end users. Since SDN is becoming the mainstream paradigm for networ…