Performance Evaluation of FPGA-Embedded Web Servers

Cuenca, S.; Grediaga, Ángel; Llorens, Hector; Albero, María Ascensión Gómez

doi:10.1109/icecs.2007.4511208

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…The advantage of this approach is related to the implementation simplicity since there are already several MWS available in the market whose offer is expected to grow in the near future. Noteworthy, some MWS are internally built with FPGAs, which evidence the power and wide acceptance of these devices for building microelectronic circuits [12]. Based on a web research, table III presents some commercial MWS.…”

Section: IIImentioning

confidence: 99%

FPGA-based weblab infrastructures guidelines and a prototype implementation example

Costa¹,

Alves²,

Zenha-Rela³

et al. 2009

2009 3rd IEEE International Conference on E-Learning in Industrial Electronics (ICELIE)

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Abstract-Recent trends show an increasing number of weblabs, implemented at universities and schools, supporting practical training in technical courses and providing the ability to remotely conduct experiments. However, their implementation is typically based on individual architectures, unable of being reconfigured with different instruments/modules usually required by every experiment. In this paper, we discuss practical guidelines for implementing reconfigurable weblabs that support both local and remote control interfaces. The underlying infrastructure is based on reconfigurable, low-cost, FPGA-based boards supporting several peripherals that are used for the local interface. The remote interface is powered by a module capable of communicating with an Ethernet based network and that can either correspond to an internal core of the FPGA or an external device. These two approaches are discussed in the paper, followed by a practical implementation example.

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Section: IIImentioning

confidence: 99%

FPGA-based weblab infrastructures guidelines and a prototype implementation example

Costa¹,

Alves²,

Zenha-Rela³

et al. 2009

2009 3rd IEEE International Conference on E-Learning in Industrial Electronics (ICELIE)

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“…An FPGA is a device that really improves the behavior of parallel algorithms. There are also applications exploiting this parallelism like the FPGA-based web servers shown in [ 78 ].…”

Section: Sensors Systems Based On Fpgasmentioning

confidence: 99%

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

García

Jara

Pomares

et al. 2014

Sensors

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The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.

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“…Usually, most of these devices are implemented using PCs or microcontrollers, however, FPGAs are a viable alternative in the implementation of these systems since they add new features to traditional architectures based on microprocessors or microcontrollers. For example, the FPGA technology makes the embedded webserver small-sized (portable), flexible, reconfigurable and reprogrammable with the advantages of good customization, cost-effectiveness, integration, accessibility and expandability [ 5 ]. We can design the hardware, software and core simultaneously, which greatly reduces the design cycle [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

A FPGA Embedded Web Server for Remote Monitoring and Control of Smart Sensors Networks

Magdaleno

Rodríguez

Pérez

et al. 2013

Sensors

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This article describes the implementation of a web server using an embedded Altera NIOS II IP core, a general purpose and configurable RISC processor which is embedded in a Cyclone FPGA. The processor uses the μCLinux operating system to support a Boa web server of dynamic pages using Common Gateway Interface (CGI). The FPGA is configured to act like the master node of a network, and also to control and monitor a network of smart sensors or instruments. In order to develop a totally functional system, the FPGA also includes an implementation of the time-triggered protocol (TTP/A). Thus, the implemented master node has two interfaces, the webserver that acts as an Internet interface and the other to control the network. This protocol is widely used to connecting smart sensors and actuators and microsystems in embedded real-time systems in different application domains, e.g., industrial, automotive, domotic, etc., although this protocol can be easily replaced by any other because of the inherent characteristics of the FPGA-based technology.

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Performance Evaluation of FPGA-Embedded Web Servers

Cited by 7 publications

References 5 publications

FPGA-based weblab infrastructures guidelines and a prototype implementation example

FPGA-based weblab infrastructures guidelines and a prototype implementation example

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

A FPGA Embedded Web Server for Remote Monitoring and Control of Smart Sensors Networks

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