A Framework for Cloud Embedded Web Services Utilized by Cloud Applications

2011 ◽  
Author(s):  
Mohamed Wahib ◽  
Asim Munawar ◽  
Masaharu Munetomo ◽  
Kiyoshi Akama
Keyword(s):  
Web Services ◽  
Embedded Web ◽  
Cloud Applications

Decentralized configuration of embedded web services for smart home applications

2017 ◽  
Author(s):  
Arne Wall ◽  
Vlado Altmann ◽  
Johannes Muller ◽  
Hannes Raddatz ◽  
Dirk Timmermann
Keyword(s):  
Web Services ◽  
Smart Home ◽  
Embedded Web

scholarly journals Enabling the web of things: facilitating deployment, discovery and resource access to IoT objects using embedded web services

2014 ◽  
Vol 10 (2/3) ◽  
pp. 218 ◽  
Author(s):  
Isam Ishaq ◽  
Jeroen Hoebeke ◽  
Jen Rossey ◽  
Eli De Poorter ◽  
Ingrid Moerman ◽  
...  
Keyword(s):  
Web Services ◽  
Resource Access ◽  
Web Of Things ◽  
Embedded Web ◽  
The Web

A BACnet gateway for embedded Web services

2015 ◽  
Author(s):  
Vlado Altmann ◽  
Bjorn Butzin ◽  
Robert Balla ◽  
Frank Golatowski ◽  
Dirk Timmermann
Keyword(s):  
Web Services ◽  
Embedded Web

scholarly journals Industrial TCP/IP Services Monitoring through Embedded Web Services

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
Francisco Maciá-Pérez ◽  
Diego Marcos-Jorquera ◽  
Virgilio Gilart-Iglesias
Keyword(s):  
Web Services ◽  
Embedded Web

scholarly journals RESTful Web Services on Standalone Disaggregated FPGAs

2021 ◽  
Author(s):  
Raphael Polig ◽  
Jagath Weerasinghe ◽  
Christoph Hagleitner
Keyword(s):  
Web Services ◽  
Web Service ◽  
Language Processing ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Configurable Hardware ◽  
Restful Web Services ◽  
Cloud Applications ◽  
Server Infrastructure

We present an architecture for field-programmable gate arrays (FPGAs) to expose RESTful web services. This architecture allows clients to access accelerated web services from any platform and programming language that can perform RESTful API calls. By using this architecture, the client's application benefits from a high throughput and low latency web service interface. Traditionally, FPGAs are deployed in CPU-centric infrastructures as worker devices in the form of accelerators. However, for FPGA-centric applications, the overhead of a host CPU diminishes the performance, scalability and energy efficiency. cloudFPGA solves these issues by deploying FPGAs as standalone, disaggregated resources in the DC. Building on top of the cloudFPGA platform, the presented architecture simplifies the integration of FPGA-accelerated functions with cloud applications. A configurable hardware block that can be generated from an OpenAPI-based specification of the web service is used to deploy an FPGA-based application. We compare a natural language processing (NLP) application that is exposed as a web service using the traditional server infrastructure and our RESTful service layer. Measurements show an improvement of 20x in terms of throughput and 4x reduction in mean latency.

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