Twister2 Cross‐platform resource scheduler for big data

2021 ◽  
Author(s):  
Ahmet Uyar ◽  
Gurhan Gunduz ◽  
Supun Kamburugamuve ◽  
Pulasthi Wickramasinghe ◽  
Chathura Widanage ◽  
...  
Keyword(s):  
Big Data ◽  
Cross Platform ◽  
Resource Scheduler

scholarly journals Prototype Cross Platform Oriented on Cybersecurity, Virtual Connectivity, Big Data and Artificial Intelligence Control

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 197939-197954
Author(s):  
Alessandro Massaro ◽  
Michele Gargaro ◽  
Giovanni Dipierro ◽  
Angelo Maurizio Galiano ◽  
Simone Buonopane
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Cross Platform ◽  
Intelligence Control

Remediation, convergence, and big data

2016 ◽  
Vol 23 (5) ◽  
pp. 512-527 ◽  
Author(s):  
Asta Zelenkauskaite
Keyword(s):  
Big Data ◽  
Mass Media ◽  
Data Access ◽  
Information Architecture ◽  
Institutional Logic ◽  
Media Companies ◽  
Platform Architecture ◽  
Cross Platform ◽  
User Centric ◽  
Technological Affordances

The era of multiplatform media and big data provide new opportunities to reconsider data access by media companies. Outlined here is the discussion surrounding data access from media institutional logic and user-centric perspectives in the contexts of digitalization and big data. The discussion includes technological affordances that can be geared toward users or that merely reinforce media companies’ prominence. However, limitations of information architecture lie in its structure and the inability to facilitate navigation by users across multiple content streams. Media companies concentrate access around their own cross-platform content. Despite technological feasibility, media companies continue to choose cross-platform architecture that is structurally limiting to users. Cross-platform conceptual limits are discussed within the context of the broader socioeconomic landscape of mass media digitalization and big data.

Recommendation-Based Interactivity Through Cross Platform Using Big Data

2021 ◽  
pp. 651-659
Author(s):  
G. K. Suhas ◽  
S. N. Devananda ◽  
R. Jagadeesh ◽  
Piyush Kumar Pareek ◽  
Sunanda Dixit
Keyword(s):  
Big Data ◽  
Cross Platform

scholarly journals Research on Internet Public Opinion and Social Governance in the Big Data Era

2020 ◽  
Vol 3 (2) ◽  
pp. 21
Author(s):  
Shengliang Wu
Keyword(s):  
Big Data ◽  
Public Opinion ◽  
Short Duration ◽  
Modern Society ◽  
The Internet ◽  
Social Governance ◽  
Cross Platform

In the development of modern society, the Internet public opinion presents the characteristics of cross-platform, multi-node, complex, etc. There are quite a few types of online public opinion with short duration, and the content has certain conflicts. The network opinion has greatly changed in the development of society, but there are still many pressures of public opinion. The paper studies the Internet public opinion and social governance in the big data era, and hopes to realize the scientificity of social governance.

scholarly journals Prototype Cross Platform oriented on Cybersecurity, Virtual Connectivity, Big Data and Artificial Intelligence Control

2020 ◽  
Author(s):  
Alessandro Massaro
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Disaster Recovery ◽  
Research Work ◽  
Accurate Method ◽  
Virtual Private Network ◽  
Data Migration ◽  
Risk Detection ◽  
Cross Platform ◽  
Private Network

<div> This paper describes a prototype cross platform based on intelligent switching of Virtual Private Network (VPN) communications by means of artificial intelligence algorithms able to identify and classify attack risks in self-learning mode by analysing the traffic logs of the system. The platform is also suitable for disaster recovery, data migration and ensures virtualization of communications between nodes in case of risk detection. In order to test the models and evaluate the accuracy of the AI algorithms for risk detection and classification, a number of cyberattack scenario have been simulated. The proposed platform </div><div>implements Cassandra Big Data system interfacing with supernodes enabling data migration, security and disaster recovery. By comparing the performance of different AI algorithms, the results show that a XGBoost-based algorithm is the most efficient and accurate method for cyberattacks prevention, showing a remarkable ability of classifying and identifying characteristic patterns of the most representative traffic log variables. The research work has been carried out within the framework of a research industry project. </div>

scholarly journals Banian: A cross-platform interactive query system for structured big data

2015 ◽  
Vol 20 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Tao Xu ◽  
Dongsheng Wang ◽  
Guodong Liu
Keyword(s):  
Big Data ◽  
Interactive Query ◽  
Cross Platform ◽  
Query System
Sign in / Sign up

Export Citation Format

Share Document