Name
Abstract | ||
|---|---|---|
Managing a cloud computing provider is a difficult task, which involves the control and maintenance of several components, such as computers, network infrastructures and software components. In these environments, availability, security and low costs are important requirements to achieve high quality of service. Therefore, the evaluation of these systems is important to find a configuration that meets the constraints of users and provider. A widely adopted strategy to evaluate cloud computing systems consists by the utilization of stochastic models (e.g., stochastic Petri nets - SPN) to assess the concern metrics. In this context, Eucalyptus is an open source private cloud software for building private and hybrid clouds. This work presents dependability models for evaluation on Eucalyptus clouds. These models focus on the user point of view metrics (e.g., number of running virtual machines) to assess the dependability metrics. In order to demonstrate the feasibility of the proposed models, we evaluate a real world environment and validate the presented models by using Eucabomber tool version 2.0. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SMC.2014.6974100 | Systems, Man and Cybernetics |
Keywords | DocType | ISSN |
cloud computing,public domain software,quality of service,stochastic processes,virtual machines,Eucabomber tool,Eucalyptus Infrastructure Clouds,VM life-cycle,cloud computing systems,dependability models,hybrid clouds,open source private cloud software,private clouds,quality-of-service,stochastic models,Eucabomber,Eucalyptus platform,cloud computing,dependability evaluation,stochastic petri nets | Conference | 1062-922X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Brilhante | 1 | 0 | 0.34 |
| Bruno Silva | 2 | 124 | 16.86 |
| Paulo Romero Martins Maciel | 3 | 363 | 59.24 |
| Armin Zimmermann | 4 | 290 | 32.66 |