A Generic Review of Messenger Application: Wechat And Whatsapp

2019 ◽  
Vol 1 (1) ◽  
pp. 15-23
Author(s):  
Ewiena Bivie Anak Apon ◽  
Cik Feresa Mohd Foozy ◽  
Palaniappan Shamala
Keyword(s):  
Distributed System ◽  
Large Scale ◽  
Modern Technology ◽  
The Internet ◽  
Coherent Systems ◽  
Large Scale Data ◽  
Communication Environment ◽  
Application Level Multicast ◽  
Important Objective ◽  
Scale Data

Over the Internet today, communication environment is more easy and interesting to the citizen. There are much interesting in modern technology when they provided a good substrate for creating large-scale data sharing, content distribution, and application-level multicast applications. The important objective of this article is getting information about comparison of two distributed system in messenger application. Messenger application is known as a tool communication that can get any information. The distributed system is one of the independent and single coherent systems it was built an application that will be informed that section is being fixed or replaces to serve more applications or users. The distributed system for this article about the comparison of two distributed system in messenger application for WeChat and Whatsapp, it is also known as the famous application for this generations nowadays.

Understanding Effectiveness of Eco Monitoring Networks: Information Theoretical Perspective

2013 ◽  
Vol 765-767 ◽  
pp. 2213-2219
Author(s):  
Su Min Li
Keyword(s):  
Large Scale ◽  
Theoretical Perspective ◽  
Monitoring Network ◽  
The Internet ◽  
Monitoring Networks ◽  
Large Networks ◽  
Moderate Size ◽  
Large Scale Data ◽  
Underlying Network ◽  
Scale Data

This work studies eco monitoring networks. As eco monitoring networks have been used to monitor large networks, questions arise whether decentralized inference is efficient and whether an eco monitoring network with a moderate size can monitor an underlying network at the Internet scale. This work studies the local effectiveness of decentralized inference done by individual monitors. Information theoretical measures, i.e., conditional non-uniformity factor is applied to quantify the effectiveness. Large-scale data from DShield is used to access the effectiveness of a real eco monitoring network.

A Scalable Distributed System for Multi-User Virtual Environments

2014 ◽  
Vol 490-491 ◽  
pp. 1237-1242
Author(s):  
Shao Rong Wang ◽  
Zhi Wei Dai
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Distributed System ◽  
Large Scale ◽  
Fault Tolerant ◽  
Social Information ◽  
Virtual Reality Environment ◽  
Information Share ◽  
Large Scale Data ◽  
Scale Data

Social information has multidimensional attributes. With the rapid growth of social information, it's harder and harder to organize, manage, and distribute these large scale information under virtual reality environments in traditional ways. This paper introduces the design and implementation of a social information distributed system based on a distributed virtual reality environment. It allows the users to post and receive social information, share photos, articles and videos with friends. The system is scalable, fault tolerant, and is capable of processing large scale data and supporting tens of thousands of online users.

Networks of Contemporary Popular Musicians

Leonardo ◽  
2012 ◽  
Vol 45 (1) ◽  
pp. 78-79 ◽  
Author(s):  
Juyong Park
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Human Perception ◽  
The Internet ◽  
Network Data ◽  
Storage And Retrieval ◽  
Music Production ◽  
Large Scale Data ◽  
The Relationship ◽  
Scale Data

The Internet has enabled easy storage and retrieval of various network data, including data showing the relationship between music professionals. “High-Throughput Humanities” is a new way of thought that aims to bring analysis of such large-scale data to the study of traditional humanities subjects including music. Here we present how networks of musical professionals can help us understand the process of collective music production and the human perception of musical similarity.

ProGen:Provenance database generator for large-scale data set

2009 ◽  
Vol 28 (11) ◽  
pp. 2737-2740
Author(s):  
Xiao ZHANG ◽  
Shan WANG ◽  
Na LIAN
Keyword(s):  
Large Scale ◽  
Data Set ◽  
Large Scale Data ◽  
Scale Data

COMMUNITY-CURATED DATA RESOURCES AND LARGE-SCALE DATA-MODEL SYNTHESES: THE CHILDREN OF COHMAP

2016 ◽  
Author(s):  
John W. Williams ◽  
◽  
Simon Goring ◽  
Eric Grimm ◽  
Jason McLachlan
Keyword(s):  
Data Model ◽  
Large Scale ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Local and global approaches of affinity propagation clustering for large scale data

2008 ◽  
Vol 9 (10) ◽  
pp. 1373-1381 ◽  
Author(s):  
Ding-yin Xia ◽  
Fei Wu ◽  
Xu-qing Zhang ◽  
Yue-ting Zhuang
Keyword(s):  
Large Scale ◽  
Affinity Propagation ◽  
Large Scale Data ◽  
Affinity Propagation Clustering ◽  
Scale Data
Sign in / Sign up

Export Citation Format

Share Document