Towards an event-driven scheduling of the setup of optical connections. (c2011)

2011 ◽  
Author(s):  
Abdelghani Sinno
Keyword(s):  
Event Driven

JAVASCRIPT ASYNCHRONOUS PROGRAMMING

2019 ◽  
Vol 128 (2B) ◽  
pp. 5-16
Author(s):  
Tran Thanh Luong ◽  
Le My Canh
Keyword(s):  
Design Patterns ◽  
Source Code ◽  
Object Oriented ◽  
Exception Handling ◽  
Code Smells ◽  
Asynchronous Programming ◽  
Event Driven ◽  
Programming Patterns ◽  
The Impact

JavaScript has become more and more popular in recent years because its wealthy features as being dynamic, interpreted and object-oriented with first-class functions. Furthermore, JavaScript is designed with event-driven and I/O non-blocking model that boosts the performance of overall application especially in the case of Node.js. To take advantage of these characteristics, many design patterns that implement asynchronous programming for JavaScript were proposed. However, choosing a right pattern and implementing a good asynchronous source code is a challenge and thus easily lead into less robust application and low quality source code. Extended from our previous works on exception handling code smells in JavaScript and exception handling code smells in JavaScript asynchronous programming with promise, this research aims at studying the impact of three JavaScript asynchronous programming patterns on quality of source code and application.

scholarly journals Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks

2020 ◽  
Author(s):  
Thulitha Senevirathna ◽  
Bathiya Thennakoon ◽  
Tharindu Sankalpa ◽  
Chatura Seneviratne ◽  
Samad Ali ◽  
...  
Keyword(s):  
Traffic Prediction ◽  
Machine Type ◽  
Machine Type Communications ◽  
Event Driven

scholarly journals Event-Driven Sampling Based Li-Ion Batteries SoH Estimation in the 5G Framework

2021 ◽  
Vol 182 ◽  
pp. 109-114
Author(s):  
Saeed Mian Qaisar ◽  
Maram AlQathami
Keyword(s):  
Li Ion Batteries ◽  
Event Driven ◽  
Li Ion

Data mining approach for improving the optimal control of HVAC systems: An event-driven strategy

2021 ◽  
Vol 39 ◽  
pp. 102246
Author(s):  
Junqi Wang ◽  
Jin Hou ◽  
Jianping Chen ◽  
Qiming Fu ◽  
Gongsheng Huang
Keyword(s):  
Data Mining ◽  
Optimal Control ◽  
Hvac Systems ◽  
Data Mining Approach ◽  
Event Driven
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