Modern AI applications increasingly run on geographically distributed and heterogeneous infrastructures that combine high-performance computing (HPC) systems, cloud platforms, and resource-constrained edge devices. Research testbeds provide such …
IoT deployments collect enormous amounts of sensor data, but making use of it still requires knowing which sensors to query, which machine learning models to run, and how to stitch the results together — expertise most organizations do not have.
Detecting malicious Bluetooth Low Energy (BLE) trackers remains challenging because existing approaches rely on fixed time and distance thresholds that are brittle across environments. These heuristics produce false positives in dense environments …
This is the artifact for PSMark. PSMark is a distributed, multi-protocol benchmark for evaluating topic-filtered publish/subscribe systems under workloads representative of real-world IoT deployments. It supports heterogeneous device configurations, …
The Publish/Subscribe (pub/sub) paradigm is widely used in the Internet of Things (IoT). Standalone sensors, wearables, and other devices act as producers that publish messages to consumers such as edge servers or even other IoT devices. Selecting …
In recent years, the rapid expansion of the Internet of Things (IoT) has introduced significant cybersecurity challenges, requiring manufacturers to comply with various regulatory frameworks and cybersecurity standards. Hence, to protect user data …
Providing proper thermal comfort to individual occupants is crucial to improve well-being and work efficiency. However, Heating, Ventilation, and Air Conditioning (HVAC) systems are responsible for a large portion of energy consumption and CO2 …
IoT deployments in smart spaces can enable the development of useful services for their inhabitants. However, the diversity of smart spaces and their sensor infrastructures makes it challenging to develop space-agnostic applications. Moreover, …
Given the pervasiveness of Bluetooth Low Energy (BLE)-based devices, detecting unwanted or suspicious trackers is challenging, especially due to their heterogeneity, cross-platform compatibility issues, and inconsistent detection methods. BL(u)E CRAB …
Long queues in retail and public environments can frustrate customers and negatively impact user experiences. Traditional camera-based monitoring systems are effective in analyzing queues, however, the potential for identification raises privacy …