New emerging storage technologies have a great application for IoT systems. Running database servers on development boards, such as Raspberry or FPGA, has a great impact on effective performance when using large amounts of data while serving requests from many clients at the same time. In this paper, we designed and implemented an embedded system to monitor the access of a database using MySql database server installed on Linux in a standard FPGA DE10 with HPS resources. The database is designed to keep the information of an IoT system in charge of monitoring and controlling the temperature inside greenhouses. For comparison purposes, we carried out a performance analysis of the database service running on the FPGA and in a Raspberry Pi 4 B to determine the efficiency of the database server in both development cards. The performance metrics analyzed were response time, memory and CPU usage taking into account scenarios with one or more requests from clients simultaneously. ⭐ For more information visit our blog: https://vasanza.blogspot.com/

1. Performance Comparison of Database
Server based on SoC FPGA and ARM
Processor
Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador
Centro de Tecnologías de Información, CTI
Facultad de Ingeniería en Electricidad y Computación, FIEC
Rebeca Estrada Pico , Víctor Asanza , Jocelyn Miranda , Leiber Rivas , Danny Torres

2. Published in:
https://ieeexplore.ieee.org/document/9647742

3. When using this resource, please cite the
original publication:
V. Asanza, R. Estrada, J. Miranda, L. Rivas and D. Torres, "Performance Comparison of Database
Server based on SoC FPGA and ARM Processor," 2021 IEEE Latin-American Conference on
Communications (LATINCOM), 2021, pp. 1-6, doi: 10.1109/LATINCOM53176.2021.9647742.
Source code repository:
https://github.com/jocammir/Sistema_gestion_base_de_datos_FPGA_HPS_DE10Standard

4. Topics
• Introduction
• Related Work
• Dataset
• Methodology
• Results
• Discussion and conclusion
Performance Comparison of Database
Server based on SoC FPGA and ARM
Processor

5. En el 2050 …
Introduction

6. Introduction

7. Related Work
• Embedded Linux can run on FPGAs together with several IoT applications, such as a database
server, web server, DNS server, traffic analyzer, among others. A lot of related work has been
done evaluation of query performance [6], delay minimization [7,8] and features based on
speeds and operating time [9,10].
• Lee et Al. [6] performed benchmark tests with SQLite to evaluate the use of FPGAs together
with DRAM/PRAM hybrid memories (SmartSSD) in order to offload the processing to the SSD.
The authors demonstrated their proposal outperforms the CPU-based approach.
• In [7], the authors proposed a configuration with interaction between the HPS, FPGA with
peripherals such as LEDs or switches DE1-SoC FPGA and an ARM Cortex-A9 processor. FPGA
has applications in systems where considerable amounts of data are processed with low
latency.
• Wielgosz and Karwatowski described the importance of having an optimal latency level in a
database system [8].

8. Dataset

9. Methodology

10. Methodology

11. Results

12. Discussion and Conclusions
• In this paper, we proposed a solution using FPGAs to run a MySQL database server on embedded
Linux due to the fact that this device can be used in real-world applications that involve sensors to
measure environmental parameters.
• Available benchmarking tools were used to benchmark the service running on two different
development boards, namely FPGA and Raspberry PI 4B +. It was found that using an FPGA as a
database server allows us to reduce the response time of multiple clients that make simultaneous
requests to the system thanks to its hardware capacity without excessive CPU and memory usage,
while the Raspberry PI requires between a25 % and 50 % longer than FPGA’s response time.
• As future work, we propose to implement a gateway to perform Edge-Fog computing based on a
Raspberry-Pi computing module in order to improve the response time of sensor networks to the cloud.
In fact, the proposed architecture can be applied to add the edge database server and to implement
fast and intelligent control algorithms with sensor networks for precision agriculture [12] or turkey
farming [13].

13. Repository
https://github.com/jocammir/Sistema_gestion_base_de_datos_FPGA_HPS_DE10Standard

14. For more information
Mail: {restrada, vasanza, jocammir, lvrivas, daaltorr}@espol.edu.ec
Facultad de Ingeniería en Electricidad y Computación, FIEC
Escuela Superior Politécnica del Litoral, ESPOL
Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863
090150 Guayaquil, Ecuador
Rebeca Estrada Pico , Víctor Asanza , Jocelyn Miranda , Leiber Rivas , Danny Torres

15. Thank you!