Using Clouds to Scale Grid Resources: An Economic Model

Rodero Merino, Luis and Caron, Eddy and Muresan, Adrian and Desprez, Frédéric (2011). Using Clouds to Scale Grid Resources: An Economic Model. "Future Generation Computer Systems-the International Journal of Grid Computing-Theory Methods And Applications", v. 28 (n. 4); pp. 633-646. ISSN 0167-739X. https://doi.org/10.1016/j.future.2011.10.001.

Description

Title: Using Clouds to Scale Grid Resources: An Economic Model
Author/s:
  • Rodero Merino, Luis
  • Caron, Eddy
  • Muresan, Adrian
  • Desprez, Frédéric
Item Type: Article
Título de Revista/Publicación: Future Generation Computer Systems-the International Journal of Grid Computing-Theory Methods And Applications
Date: 2011
ISSN: 0167-739X
Volume: 28
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Infrastructure as a Service clouds are a flexible and fast way to obtain (virtual) resources as demand varies. Grids, on the other hand, are middleware platforms able to combine resources from different administrative domains for task execution. Clouds can be used by grids as providers of devices such as virtual machines, so they only use the resources they need. But this requires grids to be able to decide when to allocate and release those resources. Here we introduce and analyze by simulations an economic mechanism (a) to set resource prices and (b) resolve when to scale resources depending on the users’ demand. This system has a strong emphasis on fairness, so no user hinders the execution of other users’ tasks by getting too many resources. Our simulator is based on the well-known GridSim software for grid simulation, which we expand to simulate infrastructure clouds. The results show how the proposed system can successfully adapt the amount of allocated resources to the demand, while at the same time ensuring that resources are fairly shared among users.

More information

Item ID: 11244
DC Identifier: https://oa.upm.es/11244/
OAI Identifier: oai:oa.upm.es:11244
DOI: 10.1016/j.future.2011.10.001
Official URL: http://www.sciencedirect.com/science/article/pii/S0167739X11001865
Deposited by: Memoria Investigacion
Deposited on: 03 Jul 2012 11:22
Last Modified: 20 Apr 2016 19:23
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