Home // International Journal On Advances in Networks and Services, volume 9, numbers 3 and 4, 2016 // View article

A Model for Managed Elements under Autonomic Cloud Computing Management

Authors:
Rafael de Souza Mendes
Rafael Brundo Uriarte
Carlos Becker Westphall

Keywords: Autonomic Cloud Computing; Cloud Computing Management; Simulation; Multigraph

Abstract:
Due to the scale and dynamism of cloud computing, there is a need for new tools and techniques for its management. This paper proposes an approach to quantitative modelling of cloud components' behaviour, using double weighted Directed Acyclic Multigraphs (DAM) through the different abstraction levels of components. With this formalism, it is possible to analyse load propagation and its effects on the cloud elements from an Anything as a Service (xAAS) perspective. Such model enables the comparison, analysis and simulation of clouds, which assist the cloud management with the evaluation of modifications in the cloud structure and configuration. The existing solutions either do not have mathematical background, which hinders the comparison and production of structural variations in cloud models, or have the mathematical background, but are limited to a specific area (e.g., energy-efficiency), which does not provide support to the dynamic nature of clouds and to the different needs of the managers. In contrast, our model has a formal mathematical background and is generic. Furthermore, we present formalisms and algorithms that support the load propagation and the metrics of services, systems, third-parties providers and resources, such as: computing, storage and networking. To demonstrate the applicability of our solution, we have implemented a software framework for modelling Infrastructure as a Service, and conducted numerical experiments with hypothetical loads and behaviours.

Pages: 83 to 95

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: December 31, 2016

Published in: journal

ISSN: 1942-2644