Riding out of the storm: How to deal with the complexity of grid and cloud management

Montes, Jesús and Sánchez Campos, Alberto and Pérez Hernández, María de los Santos (2012). Riding out of the storm: How to deal with the complexity of grid and cloud management. "Journal of Grid Computing", v. 10 (n. 3); pp. 349-366. ISSN 1570-7873. https://doi.org/10.1007/s10723-012-9225-4.

Description

Title: Riding out of the storm: How to deal with the complexity of grid and cloud management
Author/s:
  • Montes, Jesús
  • Sánchez Campos, Alberto
  • Pérez Hernández, María de los Santos
Item Type: Article
Título de Revista/Publicación: Journal of Grid Computing
Date: 2012
ISSN: 1570-7873
Volume: 10
Subjects:
Freetext Keywords: Grid computing, Computación en red, Cloud computing, Computación en nube, Autonomic computing, Computación automática, Theoretical models, Modelos teóricos.
Faculty: Facultad de Informática (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

Over the last decade, Grid computing paved the way for a new level of large scale distributed systems. This infrastructure made it possible to securely and reliably take advantage of widely separated computational resources that are part of several different organizations. Resources can be incorporated to the Grid, building a theoretical virtual supercomputer. In time, cloud computing emerged as a new type of large scale distributed system, inheriting and expanding the expertise and knowledge that have been obtained so far. Some of the main characteristics of Grids naturally evolved into clouds, others were modified and adapted and others were simply discarded or postponed. Regardless of these technical specifics, both Grids and clouds together can be considered as one of the most important advances in large scale distributed computing of the past ten years; however, this step in distributed computing has came along with a completely new level of complexity. Grid and cloud management mechanisms play a key role, and correct analysis and understanding of the system behavior are needed. Large scale distributed systems must be able to self-manage, incorporating autonomic features capable of controlling and optimizing all resources and services. Traditional distributed computing management mechanisms analyze each resource separately and adjust specific parameters of each one of them. When trying to adapt the same procedures to Grid and cloud computing, the vast complexity of these systems can make this task extremely complicated. But large scale distributed systems complexity could only be a matter of perspective. It could be possible to understand the Grid or cloud behavior as a single entity, instead of a set of resources. This abstraction could provide a different understanding of the system, describing large scale behavior and global events that probably would not be detected analyzing each resource separately. In this work we define a theoretical framework that combines both ideas, multiple resources and single entity, to develop large scale distributed systems management techniques aimed at system performance optimization, increased dependability and Quality of Service (QoS). The resulting synergy could be the key 350 J. Montes et al. to address the most important difficulties of Grid and cloud management.

More information

Item ID: 16868
DC Identifier: http://oa.upm.es/16868/
OAI Identifier: oai:oa.upm.es:16868
DOI: 10.1007/s10723-012-9225-4
Official URL: http://link.springer.com/article/10.1007%2Fs10723-012-9225-4
Deposited by: Memoria Investigacion
Deposited on: 06 Sep 2013 15:39
Last Modified: 21 Apr 2016 17:13
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM