Abstract
Low power systems equipped with sensors that recognize users and objects are increasingly used today. These devices need to take actions according to the information resulting from the processed data. Sensed data processing is an intensive task and often needs more computational power than that available on the system connected to the sensor. This paper analyzes the opportunity of running the computational intensive tasks remotely in a remote High Performance Computing (HPC) center compared to processing data directly on low power sensor platform and still providing a real time response. The platform used is Raspberry Pi and the sensor is the Raspberry Pi Camera Module. Various connectivity methods to the HPC center will be tested such as wired, Wi-Fi and cellular HSDPA.
Keywords: HPC, image sensor, java, raspberry Pi, security, wireless.
Related Books
Practical Digital Forensics: A Guide for Windows and Linux Users
The Future of Computing: Ubiquitous Applications and Technologies
Metal Complexes: Environmental and Biomedical Applications
Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning
Smart Home and Industrial IoT Devices: Critical Perspectives on Cyberthreats, Frameworks and Protocols
A Practitioner's Approach to Problem-Solving using AI
A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing
Green Industrial Applications of Artificial Intelligence and Internet of Things
Cyber Forensics and Investigation on Smart Devices
Digital Innovation Adoption: Architectural Recommendations and Security Solutions
10