Performance and energy evaluation of RESTful web services in Raspberry Pi

Abstract

Abstract-This paper analyzes the execution behavior of web services on devices with limited resources. To conduct the experiments, web services are available for both Axis2 and CXF framework. To determine which framework is better suited for service provision, a performance and energy evaluation between them is presented. In this context, services developed with CXF framework proved to be more suitable for these devices, since its abstract implementation details both services provider and clients applications, also it has shorter times to process large amount of data.

Sistema inteligente para el monitoreo automatizado del transporte público en tiempo real

“…Utiliza el protocolo HTTP para establecer la comunicación entre el servidor y el navegador. En este sentido, los servicios RestFul han demostrado que tienen buen potencial para el funcionamiento con este tipo dispositivos con un menor consumo de energía en los servicios web (Nunes, 2014). En el sistema se ha utilizado RestFul como servicio web el cual se encuentra desarrollado en PHP, que permite obtener los datos del servidor de base de datos realizando una petición, donde devuelve los datos obtenidos en formato JSON y estos pueden ser utilizados por distintas aplicaciones.…”

Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

“…Even using an early model of the Raspberry Pi platform, the results in [21] were encouraging. Energy consumption was also evaluated in [23] but considering particular demands when implementing the RESTful Web Services framework. Similarly, the execution of web services in the Raspberry Pi platform was also addressed in [24], which evaluated load balancing in clusters of Raspberry Pi boards.…”

Provendo resiliência em uma rede de sensores sem fio linear e esparsa através de veículo aéreo não tripulado

“…(Nunes et al, 2014b) faz uma análise do consumo energético de frameworks Axis2 e CXF para utilização em sistemas embarcados, em especial o Raspberry Pi. Os resultados mostraram que a cuidadosa seleção de ambientes de desenvolvimento pode fazer diferença significativa no desempenho e consumo de energia.…”