Development and evaluation of optimization algorithms for the performance of cloud...
| Grant number: | 16/14219-2 |
| Support type: | Scholarships abroad - Research Internship - Master's degree |
| Effective date (Start): | September 01, 2016 |
| Effective date (End): | February 28, 2017 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science |
| Principal Investigator: | Júlio Cézar Estrella |
| Grantee: | Leonildo José de Melo de Azevedo |
| Supervisor abroad: | Stephan Reiff-Marganiec |
| Home Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Local de pesquisa : | University of Leicester, England |
| Associated to the scholarship: | 15/11623-4 - Development and evaluation of optimization algorithms for the performance of cloud service level agreements, BP.MS |
Abstract Nowadays the access to a cloud computing environment is provided on-demand offering transparent services to customers. Although the cloud enterprise systems allow an abstraction of the behavior of the service providers in the infrastructure (involving logical and physical resources), it remains a challenge to fully comply with the Service Level Agreements (SLAs), because, depending on the QoS (Quality of Service) demands, the providers may not be able to meet the proper requirements of the customers. There is a need for mechanisms that take account of load balancing algorithms to provide an efficient load distribution with the available resources, in other words, there is a need for an efficient management of cloud computing resources. However, the studies in the literature do not effectively address the problem of the availability of resources to meet customers' requirements with analysis restricted to a limited set of objectives. In the master-thesis project linked to this research proposal, an optimization framework is proposed. This framework is used only in case of violations in the SLA, after the SLA be established. According to this research finding until now, it was observed that most of the newly established SLAs showed violations in the agreement, thus, it identified the need for an optimization before the SLA be established. | |