EIM’S MESSAGE: Compute Continuum: Unifying Edge, Fog, and Cloud Resources

Stevan STANKOVSKI

Digital applications increasingly rely on heterogeneous resources spread across the network, ranging from sensors embedded in industrial machinery to powerful servers in data centers. Although traditional cloud architectures offer elasticity and economies of scale, they suffer from latency, privacy, and network-dependency issues when data originates at the network edge [1]. To overcome these limitations, the compute continuum (also known as the cloud-edge continuum or cloud continuum) has emerged. This paradigm treats computation, storage, and networking capabilities as a seamless spectrum stretching from Internet of Things (IoT) devices to fog/edge nodes and the cloud [2]. Resources can be dynamically allocated across this spectrum using homogeneous interfaces, enabling applications to be deployed and migrated transparently.

Design and Construct PC Cooling Fan to Reduce Noise Level and Enhanced Maximum Airflow

Kyle SHARPE, Shyamal MONDAL

This paper details the design and construction of a Personal Computer (PC) cooling fan aimed at reducing noise levels while maximizing airflow. Modern PC fans often suffer from poor blade geometry and low manufacturing quality, leading to inefficiencies and increased noise under load. In this study, mathematical analysis and Computational Fluid Dynamics (CFD) were used to optimize key parameters such as blade number, pitch, and hub-to-tip ratio to improve airflow dynamics and reduce acoustic noise. The results were empirically tested and are presented in this paper. Experiment testing and data collection were conducted using a custom testing rig incorporating a microcontroller and sound sensor. Comparative analysis with leading commercial fans showed that the final fan design exceeded airflow performance, although some noise was still associated with motor coupling limitations.