Node.js: Using JavaScript to Build High-Performance Network Programs

Tilkov, Stefan; Vinoski, S.

doi:10.1109/mic.2010.145

Cited by 434 publications

(202 citation statements)

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“…Based on the project's extensive analysis of the current ubiquitous ecosystem [41], the following prototype platforms have been selected: PC (Linux, Windows, MacOS), mobile (Android), vehicles (Linux), home entertainment (Linux), machine-to-machine (Arduino). The PZP as well as PZH prototypes all extend NodeJS, an highperformance evented runtime for Google's V8 JavaScript engine [38]. For the Fig.…”

Section: Discussionmentioning

confidence: 99%

Multi-device application middleware: leveraging the ubiquity of the Web with webinos

et al. 2013

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The broad range of connected devices has turned the Internet into a ubiquitous concept. In addition to desktop and laptop PCs, the Internet currently connects mobile devices, home entertainment systems, and even in-car units. From this ubiquitous evolution towards sensor-rich devices, the opportunity arises for various new types of innovative software applications. However, alongside rises the issue of managing the increasing diversity of device characteristics and capabilities. As device fragmentation grows, application developers are facing the need to cover a wider variety of target devices and usage scenarios. In result, maintaining a viable balance between development costs and market coverage has turned out to be an important challenge when developing applications for a ubiquitous ecosystem. In this article, we present the webinos platform, a distributed Web runtime platform that leverages the Web for supporting self-adaptive cross-device applications. In order to enable the development of such immersive ubiquitous applications, we introduce and evaluate the concept of a context-aware federated overlay architecture.

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Section: Discussionmentioning

confidence: 99%

Multi-device application middleware: leveraging the ubiquity of the Web with webinos

et al. 2013

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“…The framework was developed using open source tools with platform independence and scalability as important factors. Initially implemented on a single workstation, a browser based interface was seen as desirable because of its platform independence and scalability to multi workstation and cloud based functionality [21]. It was considered that using open source enables resources that improve system development and reduce development time and dependency on proprietary systems.…”

Section: Framework For the Aggregation And Visualisation Of Inhomogenmentioning

confidence: 99%

An Architectural Based Framework for the Distributed Collection, Analysis and Query from Inhomogeneous Time Series Data Sets and Wearables for Biofeedback Applications

et al. 2017

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Abstract:The increasing professionalism of sports persons and desire of consumers to imitate this has led to an increased metrification of sport. This has been driven in no small part by the widespread availability of comparatively cheap assessment technologies and, more recently, wearable technologies. Historically, whilst these have produced large data sets, often only the most rudimentary analysis has taken place (Wisbey et al in: "Quantifying movement demands of AFL football using GPS tracking"). This paucity of analysis is due in no small part to the challenges of analysing large sets of data that are often from disparate data sources to glean useful key performance indicators, which has been a largely a labour intensive process. This paper presents a framework that can be cloud based for the gathering, storing and algorithmic interpretation of large and inhomogeneous time series data sets. The framework is architecture based and technology agnostic in the data sources it can gather, and presents a model for multi set analysis for inter-and intra-devices and individual subject matter. A sample implementation demonstrates the utility of the framework for sports performance data collected from distributed inertial sensors in the sport of swimming.

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“…The client end uses HTML, JavaScript [11] , jQuery to implement the two-way data communication with the micro service API gateway.…”

Section: Design and Implementation Of Business Management Clientmentioning

confidence: 99%

Design and Application of IoT Microservices Based on Seneca

Lv¹,

Wang²

2016

dtcse

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Node.js: Using JavaScript to Build High-Performance Network Programs

Cited by 434 publications

References 0 publications

Multi-device application middleware: leveraging the ubiquity of the Web with webinos

Multi-device application middleware: leveraging the ubiquity of the Web with webinos

An Architectural Based Framework for the Distributed Collection, Analysis and Query from Inhomogeneous Time Series Data Sets and Wearables for Biofeedback Applications

Design and Application of IoT Microservices Based on Seneca

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