Automated development of a parallel distributed system for streaming data processing

2016 ◽  
pp. 096-104
Author(s):  
D.S. Titov ◽  
◽  
A.Yu. Doroshenko ◽  
O.A. Yatsenko ◽  
◽  
...  
Keyword(s):  
Social Network ◽  
Distributed Computing ◽  
Data Processing ◽  
Sentiment Analysis ◽  
Distributed System ◽  
Fault Tolerant ◽  
Streaming Data ◽  
Cloud Platform ◽  
Fault Tolerant System ◽  
High Level

An automated development of a parallel distributed dynamically scalable fault-tolerant system for processing large amount of streaming data is performed. The system is based on the framework for distributed computing Hazelcast and the usage of the toolkit for generation of programs from high-level specifications of algorithms. The inspection and study of this system is performed on an example of data processing in Twitter social network in which sentiment analysis functionality is implemented. The mechanism of the deployment of the created system on a cloud platform is examined.

Active Fault-Tolerant System for Open Distributed Computing

2006 ◽  
pp. 581-590
Author(s):  
Rodrigo Lanka ◽  
Kentaro Oda ◽  
Takaichi Yoshida
Keyword(s):  
Distributed Computing ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant System

FRASystem: fault tolerant system using agents in distributed computing systems

2009 ◽  
Vol 14 (1) ◽  
pp. 15-25 ◽  
Author(s):  
HwaMin Lee ◽  
DooSoon Park ◽  
HeonChang Yu ◽  
Giyeol Lee
Keyword(s):  
Distributed Computing ◽  
Fault Tolerant ◽  
Distributed Computing Systems ◽  
Computing Systems ◽  
Fault Tolerant System

scholarly journals Fault-tolerant system for organizing highperformance computing for solving data processing problems

2018 ◽  
Vol 9 (1) ◽  
pp. 85-108
Author(s):  
Alexander Talalaev ◽  
◽  
Vitaly Fralenko ◽  
Keyword(s):  
Data Processing ◽  
Fault Tolerant ◽  
Fault Tolerant System

ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

2020 ◽  
pp. 113
Author(s):  
V. Kovpak ◽  
N. Trotsenko
Keyword(s):  
Social Network ◽  
Professional Training ◽  
Educational Process ◽  
Communication Strategy ◽  
Student Centered ◽  
Teacher Student ◽  
The Social ◽  
National University ◽  
High Level ◽  
The Impact

<div><p><em>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</em></p></div><p><em>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).</em></p><p><strong><em>Key words:</em></strong><em> nativeness, native advertising, branded content, special project, communication strategy.</em></p>

Sentiment Analysis of Social Network Content to Characterize the Perception of Security

2020 ◽  
Author(s):  
Luisa Fernanda Chaparro ◽  
Cristian Pulido ◽  
Jorge Rudas ◽  
Ana Maria Reyes ◽  
Jorge Victorino ◽  
...  
Keyword(s):  
Social Network ◽  
Sentiment Analysis ◽  
Perception Of Security

Inter-team variability in high-level women’s volleyball from the perspective of Social Network Analysis: an analysis in critical game scenarios

2021 ◽  
pp. 1-15
Author(s):  
João Bernardo Martins ◽  
Isabel Mesquita ◽  
Ademilson Mendes ◽  
Letícia Santos ◽  
José Afonso
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
High Level ◽  
Women's Volleyball

A fault-tolerant system incorporating an Ada executive and 1750A processors

1986 ◽  
Author(s):  
David Butler
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant System
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