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Cloud Computing and Grid Computing 360-Degree Compared

Ian Foster, +3 more
- pp 1-10
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TLDR
In this article, the authors compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both the two technologies, and compare the advantages of grid computing and cloud computing.
Abstract: 
Cloud computing has become another buzzword after Web 2.0. However, there are dozens of different definitions for cloud computing and there seems to be no consensus on what a cloud is. On the other hand, cloud computing is not a completely new concept; it has intricate connection to the relatively new but thirteen-year established grid computing paradigm, and other relevant technologies such as utility computing, cluster computing, and distributed systems in general. This paper strives to compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both.

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PROTOTIPO DE ALMACENAMIENTO DE DATOS SOBRE CLOUD COMPUTING
MEDIANTE EL USO DE HERRAMIENTAS DE SOFTWARE LIBRE, PARA
PEQUEÑAS Y MEDIANAS EMPRESAS (PYMES)
MARTHA LILIANA QUEVEDO
UNIVERSIDAD AUTÓNOMA DE BUCARAMANGA
FACULTAD DE INGENIERÍA
MAESTRÍA EN SOFTWARE LIBRE
BUCARAMANGA – COLOMBIA
2018
PROTOTIPO DE ALMACENAMIENTO DE DATOS SOBRE CLOUD COMPUTING
MEDIANTE EL USO DE HERRAMIENTAS DE SOFTWARE LIBRE, PARA
PEQUEÑAS Y MEDIANAS EMPRESAS (PYMES)
MARTHA LILIANA QUEVEDO
Trabajo de grado presentado como requisito para optar por el título de Magister en
Software Libre
DIRECTOR: Msc. JULIÁN SANTIAGO SANTOYO DÍAZ
UNIVERSIDAD AUTÓNOMA DE BUCARAMANGA
FACULTAD DE INGENIERÍA
MAESTRÍA EN SOFTWARE LIBRE
BUCARAMANGA – COLOMBIA
2018
Nota de aceptación
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Jurado
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Jurado
Bogotá, 31 de enero de 2018
DEDICATORIA
A mis amigos quienes fueron un gran apoyo emocional e incondicional durante el
tiempo en que escribía esta tesis.
A mi madre quienes me apoyo todo el tiempo con sus consejos y me motiva a
culminar mis metas.
A mi tutor Julián por su confianza y acompañamiento.
AGRADECIMIENTO
A mi director de tesis, Julián Santiago Santoyo Díaz, que me acompañó y me
orientó en el proceso.
Citations
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Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

C. L. Philip Chen, +1 more
- 10 Aug 2014 - 
TL;DR: This paper is aimed to demonstrate a close-up view about Big Data, including Big Data applications, Big Data opportunities and challenges, as well as the state-of-the-art techniques and technologies currently adopt to deal with the Big Data problems.
Journal ArticleDOI

A survey of mobile cloud computing: architecture, applications, and approaches

Hoang T. Dinh, +3 more
- 25 Dec 2013 - 
TL;DR: A survey of MCC is given, which helps general readers have an overview of the MCC including the definition, architecture, and applications and the issues, existing solutions, and approaches are presented.
Journal ArticleDOI

From cloud computing to cloud manufacturing

Xun Xu
- 01 Feb 2012 - 
TL;DR: Some of the essential features of cloud computing are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves.
Journal ArticleDOI

Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

Tiago Oliveira, +2 more
- 01 Jul 2014 - 
TL;DR: Assessing the determinants of cloud computing adoption is based on an analysis of the manufacturing and services sectors and the results show clear trends in adoption towards cloud-based services.
Journal ArticleDOI

Optimization of Resource Provisioning Cost in Cloud Computing

Sivadon Chaisiri, +2 more
- 01 Jan 2012 - 
TL;DR: Numerical studies are extensively performed in which the results clearly show that with the OCRP algorithm, cloud consumer can successfully minimize total cost of resource provisioning in cloud computing environments.
References
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Journal ArticleDOI

MapReduce: simplified data processing on large clusters

Jeffrey Dean, +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI

MapReduce: simplified data processing on large clusters

Jeffrey Dean, +1 more
- 01 Jan 2008 - 
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Journal ArticleDOI

The Anatomy of the Grid: Enabling Scalable Virtual Organizations

Ian Foster, +2 more
TL;DR: The authors present an extensible and open Grid architecture, in which protocols, services, application programming interfaces, and software development kits are categorized according to their roles in enabling resource sharing.
Posted Content

The Anatomy of the Grid - Enabling Scalable Virtual Organizations

Ian Foster, +2 more
- 29 Mar 2001 - 
TL;DR: This article reviews the "Grid problem," and presents an extensible and open Grid architecture, in which protocols, services, application programming interfaces, and software development kits are categorized according to their roles in enabling resource sharing.

The Physiology of the Grid An Open Grid Services Architecture for Distributed Systems Integration

Ian Foster, +3 more
TL;DR: This presentation complements an earlier foundational article, “The Anatomy of the Grid,” by describing how Grid mechanisms can implement a service-oriented architecture, explaining how Grid functionality can be incorporated into a Web services framework, and illustrating how the architecture can be applied within commercial computing as a basis for distributed system integration.
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