Cloud computing is a trend of technology aimed at providing on-demand services with payment based on usage. To improve the use of resources, cloud providers adopt multi-tenant approaches, reducing the operation cost of services. Moreover, tenants have irregular workload patterns, impacting in the guarantees of quality of service, mainly due to interference between tenants. This paper proposes an approach to improve quality of service for multi-tenant RDBMS. This approach employs migration techniques of tenants, system monitoring, allocation strategy, forecast approach, and benefits of cloud infrastructure to improve performance and reduce provider cost. We carried out experiments on performance and resource usage in order to evaluate it.

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Cloud computing is a recent trend of technology that aims to provide on-demand services following a pay-peruse model. In the cloud, the service user has some guarantees, such as performance and availability. These guarantees of quality of service are defined between the service provider and user and are expressed through a service level agreement. There are many models for agreement and quality of services in cloud computing. However, most of these models are multipurpose and do not deal with data management aspects in the cloud. This paper presents QoSDBC, an approach to quality of service for database in the cloud. This approach can be used by providers to improve the quality of their services and encompasses different aspects such as response time, throughput, availability and consistency. In order to evaluate QoSDBC, some experiments that measure the quality of service are presented.

My family, who always supported me through all my difficulties. This project was only possible because they believed in me from beginning to end.To my advisors who accepted the challenge of guiding me in this project, always helping me in every way possible.To my friends who were present with me throughout my academic journey helping whenever they could. Especially to Rodrigo, André and Iago, friendships from college that were always present before and during the project and that I will carry with me for the rest of my life.To my friends from Teresópolis, Gabriel, Rafael and Ilon, who were always with me despite the constant absences due to distance.To my friends Maria Carolina, Eduarda and Ana Clara who always listened to me in the most difficult moments, somehow bringing a smile to my face.And last but not least, to my friends at work, who always helped me when I needed to focus on the project and couldn't fully dedicate myself to my assignments.