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Previous issue date: 2012-03-08 / Cloud reliance is critical to its success. Although fault-tolerance mechanisms are employed by cloud
providers, there is always the possibility of failure of infrastructure components. We consequently
need to think proactively of how to deal with the occurrence of failures, in an attempt to minimize
their effects. In this work, we draw the risk concept from probabilistic risk analysis in order to
achieve this.
In probabilistic risk analysis, consequence costs are associated to failure events of the target
system, and failure probabilities are associated to infrastructural components. The risk is the
expected consequence of the whole system. We use the risk concept in order to present
representative mathematical models for which computational optimization problems are formulated
and solved, in a Cloud Computing environment. In these problems, consequence costs are
associated to incoming applications that must be allocated in the Cloud and the risk is either seen as
an objective function that must be minimized or as a constraint that should be limited.
The proposed problems are solved either by optimal algorithm reductions or by
approximation algorithms with provably performance guarantees. Finally, the models and problems
are discussed from a more practical point of view, with examples of how to assess risk using these
solutions. Also, the solutions are evaluated and results on their performance are established, showing
that they can be used in the effective planning of the Cloud.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufpe.br:123456789/10423 |
| Date | 08 March 2012 |
| Creators | Palhares, André Vitor de Almeida |
| Contributors | Sadok, Djamel |
| Publisher | Universidade Federal de Pernambuco |
| Source Sets | IBICT Brazilian ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFPE, instname:Universidade Federal de Pernambuco, instacron:UFPE |
| Rights | Attribution-NonCommercial-NoDerivs 3.0 Brazil, http://creativecommons.org/licenses/by-nc-nd/3.0/br/, info:eu-repo/semantics/openAccess |
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