Managing energy consumption in FPGA-based edge computing systems with soft-core CPUs
Edge computing, characterized by processing data closer to its source, has emerged as a promising paradigm to address the challenges of latency, bandwidth, and privacy in the Internet of Things (IoT) era. At the same time, Field-Programmable Gate Arrays (FPGAs) have gained significant attention in...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Academy of Cognitive and Natural Sciences
2025-05-01
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| Series: | Journal of Edge Computing |
| Subjects: | |
| Online Access: | https://acnsci.org/journal/index.php/jec/article/view/717 |
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| Summary: | Edge computing, characterized by processing data closer to its source, has emerged as a promising paradigm to address the challenges of latency, bandwidth, and privacy in the Internet of Things (IoT) era. At the same time, Field-Programmable
Gate Arrays (FPGAs) have gained significant attention in edge computing due to their ability to reconfigure design, low power consumption, and high performance. However, the energy consumption of FPGA-based edge computing systems remains a critical concern, particularly in resource-constrained environments where power efficiency is crucial. This paper presents an energy-efficient edge computing system focusing on job scheduling and power management optimization. We review existing techniques and methodologies for optimizing energy consumption in computing systems, including FPGA-based edge devices, identify key challenges and opportunities for future enhancement and propose a flexible, low-power system design with soft-core CPUs.
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| ISSN: | 2837-181X |