Design Pattern Usage in Grid Computing

2012 ◽  
Author(s):  
Markus Aleksy ◽  
Makoto Takizawa ◽  
Leonard Barolli
Keyword(s):  
Grid Computing ◽  
Design Pattern

Similarities and Contrast between Grid Computing and Cloud Computing

2011 ◽  
Vol 3 (3) ◽  
pp. 54-56
Author(s):  
Prof. Milan Kantilal Vachhani ◽  
◽  
Dr. Kishor H Atkotiya
Keyword(s):  
Cloud Computing ◽  
Grid Computing

Data Mining Patters in Grid Computing

2012 ◽  
Vol 2 (3) ◽  
pp. 137-138
Author(s):  
S. Murali S. Murali ◽  
◽  
C. B. Selvalakshmi C. B. Selvalakshmi ◽  
S. Padmadevi S. Padmadevi ◽  
P. N. Karthikayan P. N. Karthikayan
Keyword(s):  
Data Mining ◽  
Grid Computing

A Review Paper on Cloud Computing

2018 ◽  
Vol 8 (6) ◽  
pp. 17 ◽  
Author(s):  
Priyanshu Srivastava ◽  
Rizwan Khan
Keyword(s):  
Cloud Computing ◽  
Grid Computing ◽  
Review Paper ◽  
Computing Technology ◽  
Internet Infrastructure ◽  
Before And After ◽  
The Face

Today is the era of Cloud Computing Technology in IT Industries. Cloud computing which is based on Internet has the most powerful architecture of computation. It reckons in of a compilation of integrated and networked hardware, software and internet infrastructure. It has various avails atop grid computing and other computing. In this paper, I have given a brief of evaluation of cloud computing by reviewing more than 30 articles on cloud computing. The outcome of this review signalizes the face of the IT industries before and after the cloud computing.

ANALYZING AND IMPROVING WEB APPLICATION QUALITY USING DESIGN PATTERNS

2012 ◽  
Vol 2 (2) ◽  
pp. 112-116
Author(s):  
Shikha Bhatia ◽  
Mr. Harshpreet Singh
Keyword(s):  
Web Application ◽  
Design Pattern ◽  
Design Patterns ◽  
Web Applications ◽  
Past Research ◽  
Software Systems ◽  
Interactive Software ◽  
Web Based ◽  
Software Application ◽  
Execution Speed

With the mounting demand of web applications, a number of issues allied to its quality have came in existence. In the meadow of web applications, it is very thorny to develop high quality web applications. A design pattern is a general repeatable solution to a generally stirring problem in software design. It should be noted that design pattern is not a finished product that can be directly transformed into source code. Rather design pattern is a depiction or template that describes how to find solution of a problem that can be used in many different situations. Past research has shown that design patterns greatly improved the execution speed of a software application. Design pattern are classified as creational design patterns, structural design pattern, behavioral design pattern, etc. MVC design pattern is very productive for architecting interactive software systems and web applications. This design pattern is partition-independent, because it is expressed in terms of an interactive application running in a single address space. We will design and analyze an algorithm by using MVC approach to improve the performance of web based application. The objective of our study will be to reduce one of the major object oriented features i.e. coupling between model and view segments of web based application. The implementation for the same will be done in by using .NET framework.

Mechanism Design for Grid Computing

2009 ◽  
Author(s):  
Zoltan Hidvegi ◽  
Hong Xu ◽  
Jianqing Chen ◽  
Andrew B. Whinston
Keyword(s):  
Grid Computing ◽  
Mechanism Design

Produção internacional sobre ciência orientada a dados: análise dos termos data science e e-science na scopus e na web of science

2017 ◽  
Vol 12 (1) ◽  
Author(s):  
Leilah Santiago Bufrem ◽  
Fábio Mascarenhas Silva ◽  
Natanael Vitor Sobral ◽  
Anna Elizabeth Galvão Coutinho Correia
Keyword(s):  
Big Data ◽  
Open Access ◽  
Grid Computing ◽  
Digital Library ◽  
Data Science ◽  
Web Of Science ◽  
Computer Systems ◽  
Distributed Computer Systems

Introdução: A atual configuração da dinâmica relativa à produção e àcomunicação científicas revela o protagonismo da Ciência Orientada a Dados,em concepção abrangente, representada principalmente por termos como “e-Science” e “Data Science”. Objetivos: Apresentar a produção científica mundial relativa à Ciência Orientada a Dados a partir dos termos “e-Science” e “Data Science” na Scopus e na Web of Science, entre 2006 e 2016. Metodologia: A pesquisa está estruturada em cinco etapas: a) busca de informações nas bases Scopus e Web of Science; b) obtenção dos registros; bibliométricos; c) complementação das palavras-chave; d) correção e cruzamento dos dados; e) representação analítica dos dados. Resultados: Os termos de maior destaque na produção científica analisada foram Distributed computer systems (2006), Grid computing (2007 a 2013) e Big data (2014 a 2016). Na área de Biblioteconomia e Ciência de Informação, a ênfase é dada aos temas: Digital library e Open access, evidenciando a centralidade do campo nas discussões sobre dispositivos para dar acesso à informação científica em meio digital. Conclusões: Sob um olhar diacrônico, constata-se uma visível mudança de foco das temáticas voltadas às operações de compartilhamento de dados para a perspectiva analítica de busca de padrões em grandes volumes de dados.Palavras-chave: Data Science. E-Science. Ciência orientada a dados. Produção científica.Link:http://www.uel.br/revistas/uel/index.php/informacao/article/view/26543/20114

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